Volume 102 Tahun 2022
Dublin Core
Title
Volume 102 Tahun 2022
Source
https://www.jstatsoft.org/issue/view/v102
Date
2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Collection Items
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language
Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely
used across the sciences, and in industry, to model complex data sources. Key to applying
Gaussian process models is the availability of well-developed open…
used across the sciences, and in industry, to model complex data sources. Key to applying
Gaussian process models is the availability of well-developed open…
Multivariate Normal Variance Mixtures in R: The R Package nvmix
We present the features and implementation of the R package nvmix for the class of
normal variance mixtures including Student t and normal distributions. The package provides functionalities for such distributions, notably the evaluation of the…
normal variance mixtures including Student t and normal distributions. The package provides functionalities for such distributions, notably the evaluation of the…
covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
In factor analysis and structural equation modeling non-normal data simulation is
traditionally performed by specifying univariate skewness and kurtosis together with the
target covariance matrix. However, this leaves little control over the…
traditionally performed by specifying univariate skewness and kurtosis together with the
target covariance matrix. However, this leaves little control over the…
rags2ridges: A One-Stop-ℓ2-Shop for Graphical Modeling of High-Dimensional Precision Matrices
A graphical model is an undirected network representing the conditional independence
properties between random variables. Graphical modeling has become part and parcel
of systems or network approaches to multivariate data, in particular when the…
properties between random variables. Graphical modeling has become part and parcel
of systems or network approaches to multivariate data, in particular when the…
sensobol: An R Package to Compute Variance-Based Sensitivity Indices
The R package sensobol provides several functions to conduct variance-based uncertainty and sensitivity analysis, from the estimation of sensitivity indices to the visual
representation of the results. It implements several state-of-the-art first…
representation of the results. It implements several state-of-the-art first…
The R Package stagedtrees for Structural Learning of Stratified Staged Trees
stagedtrees is an R package which includes several algorithms for learning the structure of staged trees and chain event graphs from data. Score-based and clustering-based
algorithms are implemented, as well as various functionalities to plot the…
algorithms are implemented, as well as various functionalities to plot the…
NeuralSens: Sensitivity Analysis of Neural Networks
This article presents the NeuralSens package that can be used to perform sensitivity
analysis of neural networks using the partial derivatives method. The main function of the
package calculates the partial derivatives of the output with regard to…
analysis of neural networks using the partial derivatives method. The main function of the
package calculates the partial derivatives of the output with regard to…
econet: An R Package for Parameter-Dependent Network Centrality Measures
The R package econet provides methods for estimating parameter-dependent network
centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented. The methods allow for both link and…
centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented. The methods allow for both link and…
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R
Due to tradition and ease of estimation, the vast majority of clinical and epidemiological papers with time-to-event data report hazard ratios from Cox proportional hazards
regression models. Although hazard ratios are well known, they can be…
regression models. Although hazard ratios are well known, they can be…
More on Multidimensional Scaling and Unfolding in R: smacof Version 2
The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the
functionality of the package has been enhanced, and several additional methods,…
functionality of the package has been enhanced, and several additional methods,…