Volume 98 Tahun 2021
Dublin Core
Title
Volume 98 Tahun 2021
Source
https://www.jstatsoft.org/issue/view/v098
Date
2021
Collection Items
Monitoring Data in R with the lumberjack Package
Monitoring data while it is processed and transformed can yield detailed insight into
the dynamics of a (running) production system. The lumberjack package is a lightweight
package allowing users to follow how an R object is transformed as it is…
the dynamics of a (running) production system. The lumberjack package is a lightweight
package allowing users to follow how an R object is transformed as it is…
Bayesian Multivariate Spatial Models for Lattice Data with INLA
The INLAMSM package for the R programming language provides a collection of
multivariate spatial models for lattice data that can be used with the INLA package for
Bayesian inference. The multivariate spatial models implemented include different…
multivariate spatial models for lattice data that can be used with the INLA package for
Bayesian inference. The multivariate spatial models implemented include different…
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package
The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD). This approach
is suitable for data that can be considered a realization of a (multivariate)…
is suitable for data that can be considered a realization of a (multivariate)…
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets
FRK is an R software package for spatial/spatio-temporal modeling and prediction
with large datasets. It facilitates optimal spatial prediction (kriging) on the most commonly used manifolds (in Euclidean space and on the surface of the sphere), for…
with large datasets. It facilitates optimal spatial prediction (kriging) on the most commonly used manifolds (in Euclidean space and on the surface of the sphere), for…
Subgroup Identification Using the personalized Package
A plethora of disparate statistical methods have been proposed for subgroup identification to help tailor treatment decisions for patients. However a majority of them do not
have corresponding R packages and the few that do pertain to particular…
have corresponding R packages and the few that do pertain to particular…
NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP
NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure. As some estimation…
Conformal Prediction with Orange
Conformal predictors estimate the reliability of outcomes made by supervised machine
learning models. Instead of a point value, conformal prediction defines an outcome region
that meets a user-specified reliability threshold. Provided that the data…
learning models. Instead of a point value, conformal prediction defines an outcome region
that meets a user-specified reliability threshold. Provided that the data…
Analysis of Multiplex Social Networks with R
Multiplex social networks are characterized by a common set of actors connected
through multiple types of relations. The multinet package provides a set of R functions
to analyze multiplex social networks within the more general framework of…
through multiple types of relations. The multinet package provides a set of R functions
to analyze multiplex social networks within the more general framework of…
The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R
Even though adaptive two-stage designs with unblinded interim analyses are becoming
increasingly popular in clinical trial designs, there is a lack of statistical software to make
their application more straightforward. The package adoptr fills…
increasingly popular in clinical trial designs, there is a lack of statistical software to make
their application more straightforward. The package adoptr fills…
Continuous Time Individual-Level Models of Infectious Disease: Package EpiILMCT
This paper describes the R package EpiILMCT, which allows users to study the spread
of infectious disease using continuous time individual level models (ILMs). The package provides tools for simulation from continuous time ILMs that are based on…
of infectious disease using continuous time individual level models (ILMs). The package provides tools for simulation from continuous time ILMs that are based on…