1 10 17 https://repository.horizon.ac.id/files/original/eef0b6b7d2ee32462f3cc11432d3025f.pdf 620bc927b5d38f70fc5171f7828296b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource preference: An R Package for Two-Stage Clinical Trial Design Accounting for Patient Preference Subject The topic of the resource two-stage clinical trials, preference, sample size. Description An account of the resource The consideration of a patient’s treatment preference may be essential in determining how a patient will respond to a particular treatment. While traditional clinical trials are unable to capture these effects, the two-stage randomized preference design provides an important tool for researchers seeking to understand the role of patient preferences. In addition to the treatment effect, these designs seek to estimate the role of preferences through testing of selection and preference effects. The R package preference facilitates the use of two-stage clinical trials by providing the necessary tools to design and analyze these studies. To aid in the design, functions are provided to estimate the required sample size and to estimate the study power when a sample size is fixed. In addition, analysis functions are provided to determine the significance of each effect using either raw data or summary statistics. The package is able to incorporate either an unstratified or stratified preference design. The functionality of the package is demonstrated using data from a study evaluating two management methods in women found to have an atypical Pap smear Creator An entity primarily responsible for making the resource Briana Cameron Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094c02 Publisher An entity responsible for making the resource available 23andMe Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/369076118c307bffaf2e7bbc44dc019a.pdf 179eecf17c43394de4f0d81cc6ec183b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using GNU Make to Manage the Workflow of Data Analysis Projects Subject The topic of the resource GNU Make, Make, reproducible research, R, rmarkdown, Sweave, Stata, SAS Description An account of the resource Data analysis projects invariably involve a series of steps such as reading, cleaning, summarizing and plotting data, statistical analysis and reporting. To facilitate reproducible research, rather than employing a relatively ad-hoc point-and-click cut-and-paste approach, we typically break down these tasks into manageable chunks by employing separate files of statistical, programming or text processing syntax for each step including the final report. Real world data analysis often requires an iterative process because many of these steps may need to be repeated any number of times. Manually repeating these steps is problematic in that some necessary steps may be left out or some reported results may not be for the most recent data set or syntax. GNU Make may be used to automate the mundane task of regenerating output given dependencies between syntax and data files. In addition to facilitating the management of and documenting the workflow of a complex data analysis project, such automation can help minimize errors and make the project more reproducible. It is relatively simple to construct Makefiles for small data analysis projects. As projects increase in size, difficulties arise because GNU Make does not have inbuilt rules for statistical and related software. Without such rules, Makefiles can become unwieldy and error-prone. This article addresses these issues by providing GNU Make pattern rules for R, Sweave, rmarkdown, SAS, Stata, Perl and Python to streamline management of data analysis and reporting projects. Rules are used by adding a single line to project Makefiles. Additional flexibility is incorporated for modifying standard program options. An overall strategy is outlined for Makefile construction and illustrated via simple and complex examples. Creator An entity primarily responsible for making the resource Peter Baker Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094c01 Publisher An entity responsible for making the resource available University of Queensland Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/6067d4434013121dd14ae83bf62c7a00.pdf 2577e7fa55d22dc96bd8a08a64fecc3f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ROI: An Extensible R Optimization Infrastructure Subject The topic of the resource optimization, mathematical programming, linear programming, quadratic programming, convex programming, nonlinear programming, mixed integer programming, R. Description An account of the resource Optimization plays an important role in many methods routinely used in statistics, machine learning and data science. Often, implementations of these methods rely on highly specialized optimization algorithms, designed to be only applicable within a specific application. However, in many instances recent advances, in particular in the field of convex optimization, make it possible to conveniently and straightforwardly use modern solvers instead with the advantage of enabling broader usage scenarios and thus promoting reusability. This paper introduces the R optimization infrastructure ROI which provides an extensible infrastructure to model linear, quadratic, conic and general nonlinear optimization problems in a consistent way. Furthermore, the infrastructure administers many different solvers, reformulations, problem collections and functions to read and write optimization problems in various formats Creator An entity primarily responsible for making the resource Stefan Theußl Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i15 Publisher An entity responsible for making the resource available Raiffeisen Bank International AG Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar Bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/afaefc7a6b615c2f6da4059d552bd389.pdf b4c3eb0b4dfb0e0cef14d99ef60b0085 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CVXR: An R Package for Disciplined Convex Optimization Subject The topic of the resource convex optimization, disciplined convex optimization, optimization, regression, penalized regression, isotonic regression, R package CVXR Description An account of the resource CVXR is an R package that provides an object-oriented modeling language for convex optimization, similar to CVX, CVXPY, YALMIP, and Convex.jl. It allows the user to formulate convex optimization problems in a natural mathematical syntax rather than the restrictive form required by most solvers. The user specifies an objective and set of constraints by combining constants, variables, and parameters using a library of functions with known mathematical properties. CVXR then applies signed disciplined convex programming (DCP) to verify the problem’s convexity. Once verified, the problem is converted into standard conic form using graph implementations and passed to a cone solver such as ECOS or SCS. We demonstrate CVXR’s modeling framework with several applications Creator An entity primarily responsible for making the resource Anqi Fu Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i14 Publisher An entity responsible for making the resource available Stanford University Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/9055d685a1c89c7e9309cecbe66a32d6.pdf 011b470af7d949aae1237f3b640f5e64 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource BOIN: An R Package for Designing Single-Agent and Drug-Combination Dose-Finding Trials Using Bayesian Optimal Interval Designs Subject The topic of the resource maximum tolerated dose, dose finding, phase I trials, model-assisted design, Bayesian adaptive design Description An account of the resource This article describes the R package BOIN, which implements a recently developed methodology for designing single-agent and drug-combination dose-finding clinical trials using Bayesian optimal interval designs (Liu and Yuan 2015; Yuan, Hess, Hilsenbeck, and Gilbert 2016). The BOIN designs are novel “model-assisted” phase I trial designs that can be implemented simply and transparently, similar to the 3 + 3 design, but yield excellent performance comparable to those of more complicated, model-based designs. The BOIN package provides tools for designing, conducting, and analyzing single-agent and drug-combination dose-finding trials Creator An entity primarily responsible for making the resource Fangrong Yan Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i13 Publisher An entity responsible for making the resource available China Pharmaceutical University Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/a3ae9c8a7db68f998aea36b52754b58a.pdf 0fc7de8629ee6c05e012df39c282117a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals Subject The topic of the resource residual, diagnostics, correlation, association, covariate-adjustment, rank statistics Description An account of the resource We present the R package PResiduals for residual analysis using the probability-scale residual. This residual is well defined for a wide variety of outcome types and models, including some settings where other popular residuals are not applicable. It can be used for model diagnostics, tests of conditional associations, and covariate-adjustment for Spearman’s rank correlation. These tests and measures of conditional association are applicable to any orderable variable. They use order information but do not require assigning scores to ordered categorical variables or transforming continuous variables, and therefore, can achieve a good balance between robustness and efficiency. We illustrate the usage of the PResiduals package with a publicly available dataset Creator An entity primarily responsible for making the resource Qi Liu Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i12 Publisher An entity responsible for making the resource available Merck & CO., Inc. Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/81ae6f8f346e5c62de6999838391ebeb.pdf c50aebd20b183c400878db4025c86188 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource deconvolveR: A G-Modeling Program for Deconvolution and Empirical Bayes Estimation Subject The topic of the resource Bayes deconvolution, g-modeling, empirical Bayes, missing species, R package deconvolveR Description An account of the resource Empirical Bayes inference assumes an unknown prior density g(θ) has yielded (unobservables) Θ1, Θ2, . . . , ΘN , and each Θi produces an independent observation Xi from pi(Xi |Θi). The marginal density fi(Xi) is a convolution of the prior g and pi . The Bayes deconvolution problem is one of recovering g from the data. Although estimation of g – so called g-modeling – is difficult, the results are more encouraging if the prior g is restricted to lie within a parametric family of distributions. We present a deconvolution approach where g is restricted to be in a parametric exponential family, along with an R package deconvolveR designed for the purpose Creator An entity primarily responsible for making the resource Balasubramanian Narasimhan Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i11 Publisher An entity responsible for making the resource available Stanford University Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/d0d0b108f29f65c58f669ae4ee4f597d.pdf 9531ed144a175d5cd64fafb3c5467813 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Boosting Functional Regression Models with FDboost Subject The topic of the resource : functional data analysis, function-on-function regression, function-on-scalar regression, gradient boosting, model-based boosting, scalar-on-function regression. Description An account of the resource The R add-on package FDboost is a flexible toolbox for the estimation of functional regression models by model-based boosting. It provides the possibility to fit regression models for scalar and functional response with effects of scalar as well as functional covariates, i.e., scalar-on-function, function-on-scalar and function-on-function regression models. In addition to mean regression, quantile regression models as well as generalized additive models for location scale and shape can be fitted with FDboost. Furthermore, boosting can be used in high-dimensional data settings with more covariates than observations. We provide a hands-on tutorial on model fitting and tuning, including the visualization of results. The methods for scalar-on-function regression are illustrated with spectrometric data of fossil fuels and those for functional response regression with a data set including bioelectrical signals for emotional episodes Creator An entity primarily responsible for making the resource Sarah Brockhaus Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i10 Publisher An entity responsible for making the resource available Ludwig-MaximilansUniversität München Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/700402fa7632bec75a80a7173dedbb0b.pdf 857a51f291249281f7973323e9cf4bd1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource StreamingBandit: Experimenting with Bandit Policies Subject The topic of the resource sequential decision-making, multi-armed bandit, data streams, sequential experimentation, Python. Description An account of the resource A large number of statistical decision problems in the social sciences and beyond can be framed as a (contextual) multi-armed bandit problem. However, it is notoriously hard to develop and evaluate policies that tackle these types of problems, and to use such policies in applied studies. To address this issue, this paper introduces StreamingBandit, a Python web application for developing and testing bandit policies in field studies. StreamingBandit can sequentially select treatments using (online) policies in real time. Once StreamingBandit is implemented in an applied context, different policies can be tested, altered, nested, and compared. StreamingBandit makes it easy to apply a multitude of bandit policies for sequential allocation in field experiments, and allows for the quick development and re-use of novel policies. In this article, we detail the implementation logic of StreamingBandit and provide several examples of its use Creator An entity primarily responsible for making the resource Jules Kruijswijk Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i09 Publisher An entity responsible for making the resource available Tilburg University Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/1d88c4d8ad825f46ea8e1697bdf54b38.pdf 17eaa6771d2459c4664c7ea45a573d88 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces Subject The topic of the resource splines, functional data analysis, sensitivity analysis, nonparametric regression. Description An account of the resource We present the R package BASS as a tool for nonparametric regression. The primary focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and performing global sensitivity analyses of these models. The BASS framework is similar to that of Bayesian multivariate adaptive regression splines (BMARS) from Denison, Mallick, and Smith (1998), but with many added features. The software is built to efficiently handle significant amounts of data with many continuous or categorical predictors and with functional response. Under our Bayesian framework, most priors are automatic but these can be modified by the user to focus on parsimony and the avoidance of overfitting. If directed to do so, the software uses parallel tempering to improve the reversible jump Markov chain Monte Carlo (RJMCMC) methods used to perform inference. We discuss the implementation of these features and present the performance of BASS in a number of analyses of simulated and real data. Creator An entity primarily responsible for making the resource Devin Francom Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i08 Publisher An entity responsible for making the resource available Los Alamos National Laboratory Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajat bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text