Volume 95 Tahun 2020
Dublin Core
Title
Volume 95 Tahun 2020
Source
https://www.jstatsoft.org/issue/view/v095
Date
2020
Format
PDF
Language
Inggris
Type
Text
Collection Items
Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R
Clustered covariances or clustered standard errors are very widely used to account for
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…
Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R
Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife
surveys. N-mixture models enable quantification of detection probability and, under…
surveys. N-mixture models enable quantification of detection probability and, under…
A Data Envelopment Analysis Toolbox for MATLAB
The Data Envelopment Analysis Toolbox is a new package for MATLAB that includes
functions to calculate the main data envelopment analysis models. The package includes
code for the standard radial input, output and additive measures, allowing for…
functions to calculate the main data envelopment analysis models. The package includes
code for the standard radial input, output and additive measures, allowing for…
Zigzag Expanded Navigation Plots in R: The R Package zenplots
We describe the features and implementation of the R package zenplots (zigzag expanded navigation plots) for displaying high-dimensional data according to the recently
proposed zenplots.
By default, zenplots lay out alternating one- and…
proposed zenplots.
By default, zenplots lay out alternating one- and…
Computationally Efficient Simulation of Queues: The R Package queuecomputer
Large networks of queueing systems model important real-world systems such as
MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals.
To model such systems accurately, we must infer queueing parameters from data.…
MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals.
To model such systems accurately, we must infer queueing parameters from data.…
Patch-Wise Adaptive Weights Smoothing in R
Image reconstruction from noisy data has a long history of methodological development
and is based on a variety of ideas. In this paper we introduce a new method called patchwise adaptive smoothing, that extends the propagation-separation approach…
and is based on a variety of ideas. In this paper we introduce a new method called patchwise adaptive smoothing, that extends the propagation-separation approach…
MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference
MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS
that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC)
algorithms to speed up posterior inference of Bayesian models. The algorithm…
that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC)
algorithms to speed up posterior inference of Bayesian models. The algorithm…
Phonetic Spelling Algorithm Implementations for R
The phonics package provides several functions for indexing words by their English
language pronunciation. Over nearly one hundred years, many different algorithms have
been developed to support word and name indexing. From Soundex, developed in…
language pronunciation. Over nearly one hundred years, many different algorithms have
been developed to support word and name indexing. From Soundex, developed in…
The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond
Applications of multiple imputation have long outgrown the traditional context of
dealing with item nonresponse in cross-sectional data sets. Nowadays multiple imputation is also applied to impute missing values in hierarchical data sets, address…
dealing with item nonresponse in cross-sectional data sets. Nowadays multiple imputation is also applied to impute missing values in hierarchical data sets, address…
Computing the Kolmogorov-Smirnov Distribution When the Underlying CDF is Purely Discrete, Mixed, or Continuous
The distribution of the Kolmogorov-Smirnov (KS) test statistic has been widely studied under the assumption that the underlying theoretical cumulative distribution function
(CDF), F(x), is continuous. However, there are many real-life applications…
(CDF), F(x), is continuous. However, there are many real-life applications…