Package: r-cran-parameters
Version: 0.29.1-1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 3016
Depends: r-api-4.0, r-cran-bayestestr (>= 0.17.0), r-cran-datawizard (>= 1.3.1), r-cran-insight (>= 1.5.0)
Recommends: r-cran-aer, r-cran-afex, r-cran-bayesfactor, r-cran-bayesfm, r-cran-bbmle, r-cran-bh, r-cran-blme, r-cran-boot, r-cran-brglm2, r-cran-brms, r-cran-broom, r-cran-broom.mixed, r-cran-caic4, r-cran-car, r-cran-cardata, r-cran-clubsandwich, r-cran-cluster, r-cran-coda, r-cran-curl, r-cran-dbscan, r-cran-distributional, r-cran-drr, r-cran-effectsize (>= 1.0.1), r-cran-emmeans (>= 1.7.0), r-cran-epir, r-cran-estimatr, r-cran-factoextra, r-cran-factominer, r-cran-fastica, r-cran-fpc, r-cran-gam, r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-glmmtmb (>= 1.1.12), r-cran-gparotation, r-cran-haven, r-cran-httr2, r-cran-hmisc, r-cran-knitr, r-cran-lavaan, r-cran-lme4, r-cran-lmertest, r-cran-lmtest, r-cran-logspline, r-cran-marginaleffects (>= 0.29.0), r-cran-mass, r-cran-matrix, r-cran-mclogit, r-cran-mclust, r-cran-metafor, r-cran-mgcv, r-cran-mice (>= 3.17.0), r-cran-multcomp, r-cran-mumin, r-cran-mvtnorm, r-cran-nfactors, r-cran-nlme, r-cran-nnet, r-cran-openxlsx, r-cran-ordinal, r-cran-pbkrtest, r-cran-performance (>= 0.14.0), r-cran-plm, r-cran-poorman, r-cran-posterior, r-cran-pscl, r-cran-psych, r-cran-pvclust, r-cran-quantreg, r-cran-randomforest, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-rms, r-cran-rstan, r-cran-rstanarm, r-cran-sandwich, r-cran-survey, r-cran-survival, r-cran-testthat (>= 3.2.1), r-cran-tidyselect, r-cran-tmb, r-cran-vdiffr, r-cran-vgam, r-cran-withr
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=parameters
Description: Processing of Model Parameters
 Utilities for processing the parameters of various statistical models. Beyond
 computing p values, CIs, and other indices for a wide variety of models (see
 list of supported models using the function 'insight::supported_models()'),
 this package implements features like bootstrapping or simulating of
 parameters and models, feature reduction (feature extraction and variable
 selection) as well as functions to describe data and variable characteristics
 (e.g. skewness, kurtosis, smoothness or distribution).
