Volume 94 Tahun 2020
Dublin Core
Title
Volume 94 Tahun 2020
Source
https://www.jstatsoft.org/issue/view/v094
Date
2020
Language
Inggris
Collection Items
covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
Although a very rich list of classes of space-time covariance functions exists, specific
tools for selecting the appropriate class for a given data set are needed. Thus, the main
topic of this paper is to present the new R package, covatest, which…
tools for selecting the appropriate class for a given data set are needed. Thus, the main
topic of this paper is to present the new R package, covatest, which…
R Package OBsMD for Follow-Up Designs in an Objective Bayesian Framework
Fractional factorial experiments often produce ambiguous results due to confounding
among the factors; as a consequence more than one model is consistent with the data.
Thus, the practical problem is how to choose additional runs in order to…
among the factors; as a consequence more than one model is consistent with the data.
Thus, the practical problem is how to choose additional runs in order to…
BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed
(discrete and continuous). Probabilistic reasoning enables a user to absorb…
(discrete and continuous). Probabilistic reasoning enables a user to absorb…
BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models
We introduce a new R package, BeSS, for solving the best subset selection problem
in linear, logistic and Cox’s proportional hazard (CoxPH) models. It utilizes a highly
efficient active set algorithm based on primal and dual variables, and supports…
in linear, logistic and Cox’s proportional hazard (CoxPH) models. It utilizes a highly
efficient active set algorithm based on primal and dual variables, and supports…
AssocTests: An R Package for Genetic Association Studies
The R package AssocTests provides some procedures which are commonly used in
genetic association studies. These procedures are population stratification correction
through eigenvectors, principal coordinates of clusterings, Tracy-Widom test,…
genetic association studies. These procedures are population stratification correction
through eigenvectors, principal coordinates of clusterings, Tracy-Widom test,…
hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks
Disease spreading simulations are traditionally performed using coupled differential
equations. However, in the setting of metapopulations, most of the solutions provided by
this method do not account for the dynamic topography of subpopulations.…
equations. However, in the setting of metapopulations, most of the solutions provided by
this method do not account for the dynamic topography of subpopulations.…
credsubs: Multiplicity-Adjusted Subset Identification
Subset identification methods are used to select the subset of a covariate space over
which the conditional distribution of a response has certain properties – for example,
identifying types of patients whose conditional treatment effect is…
which the conditional distribution of a response has certain properties – for example,
identifying types of patients whose conditional treatment effect is…
BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces
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…
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…
StreamingBandit: Experimenting with Bandit Policies
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…
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…
Boosting Functional Regression Models with FDboost
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…
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…