Volume 93 Tahun 2020
Dublin Core
Title
Volume 93 Tahun 2020
Source
https://www.jstatsoft.org/issue/view/v093
Collection Items
ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization
Manifold optimization appears in a wide variety of computational problems in the applied sciences. In recent statistical methodologies such as sufficient dimension reduction
and regression envelopes, estimation relies on the optimization of…
and regression envelopes, estimation relies on the optimization of…
Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM
This paper is devoted to the R package JSM which performs joint statistical modeling
of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly…
of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly…
lmSubsets: Exact Variable-Subset Selection in Linear Regression for R
An R package for computing the all-subsets regression problem is presented. The
proposed algorithms are based on computational strategies recently developed. A novel
algorithm for the best-subset regression problem selects subset models based on a…
proposed algorithms are based on computational strategies recently developed. A novel
algorithm for the best-subset regression problem selects subset models based on a…
mvord: An R Package for Fitting Multivariate Ordinal Regression Models
The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link.
A flexible modeling framework for multiple ordinal measurements on the…
A flexible modeling framework for multiple ordinal measurements on the…
Object-Oriented Software for Functional Data
This paper introduces the funData R package as an object-oriented implementation of
functional data. It implements a unified framework for dense univariate and multivariate
functional data on one- and higher dimensional domains as well as for…
functional data. It implements a unified framework for dense univariate and multivariate
functional data on one- and higher dimensional domains as well as for…
Bayesian Random-Effects Meta-Analysis Using the bayesmeta R Package
The random-effects or normal-normal hierarchical model is commonly utilized in a
wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few…
wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few…
lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data
We present the R package mgm for the estimation of k-order mixed graphical models (MGMs) and mixed vector autoregressive (mVAR) models in high-dimensional data.
These are a useful extensions of graphical models for only one variable type, since…
These are a useful extensions of graphical models for only one variable type, since…
A Computer Algebra System for R: Macaulay2 and the m2r Package
Algebraic methods have a long history in statistics. Apart from the ubiquitous applications of linear algebra, the most visible manifestations of modern algebra in statistics
are found in the young field of algebraic statistics, which brings tools…
are found in the young field of algebraic statistics, which brings tools…
Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox
To extend the current implementation of copulas in MATLAB to non-elliptical distributions in arbitrary dimensions enabling for asymmetries in the tails, the toolbox HACopula
provides functionality for modeling with hierarchical (or nested)…
provides functionality for modeling with hierarchical (or nested)…