Showing 4 of total 4 results (show query)
easystats
insight:Easy Access to Model Information for Various Model Objects
A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Maintained by Daniel Lüdecke. Last updated 2 days ago.
easystatshacktoberfestinsightmodelsnamespredictorsrandom
414 stars 17.39 score 568 scripts 214 dependents
vinecopulib
rvinecopulib:High Performance Algorithms for Vine Copula Modeling
Provides an interface to 'vinecopulib', a C++ library for vine copula modeling. The 'rvinecopulib' package implements the core features of the popular 'VineCopula' package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families, and the ability to model discrete variables. The 'rvinecopulib' package includes 'vinecopulib' as header-only C++ library (currently version 0.7.2). Thus users do not need to install 'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
Maintained by Thomas Nagler. Last updated 6 days ago.
copulaestimationstatisticsvinecpp
35 stars 7.43 score 60 scripts 14 dependents
nerler
JointAI:Joint Analysis and Imputation of Incomplete Data
Joint analysis and imputation of incomplete data in the Bayesian framework, using (generalized) linear (mixed) models and extensions there of, survival models, or joint models for longitudinal and survival data, as described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>. Incomplete covariates, if present, are automatically imputed. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' <https://mcmc-jags.sourceforge.io/> with the help of the package 'rjags'.
Maintained by Nicole S. Erler. Last updated 12 months ago.
bayesiangeneralized-linear-modelsglmglmmimputationimputationsjagsjoint-analysislinear-mixed-modelslinear-regression-modelsmcmc-samplemcmc-samplingmissing-datamissing-valuessurvivalcpp
28 stars 7.30 score 59 scripts 1 dependents
statisticsnorway
klassR:Classifications and Codelists for Statistics Norway
Functions to search, retrieve, apply and update classifications and codelists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Maintained by Susie Jentoft. Last updated 2 months ago.
5 stars 5.13 score 34 scripts