parameters

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 support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), 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).

Tests Vignettes

Available Snapshots

This version of parameters can be found in the following snapshots:

2024-03-01

Dependencies

Imports/Depends/LinkingTo/Enhances (4)
R bayestestR >= 0.13.1 datawizard >= 0.9.1 insight >= 0.19.8

Suggests (108)
AER afex aod BayesFactor BayesFM bbmle betareg BH biglm blme brglm2 brms broom cAIC4 car carData cgam ClassDiscovery clubSandwich coda cplm dbscan domir drc DRR effectsize EGAnet emmeans >= 1.7.0 estimatr factoextra FactoMineR faraway fastICA fixest fpc gam gamlss gee geepack ggeffects >= 1.3.2 ggplot2 GLMMadaptive glmmTMB GPArotation gt haven httr Hmisc ivprobit ivreg knitr lavaan lfe lm.beta lme4 lmerTest lmtest logistf logspline lqmm M3C marginaleffects mclogit mclust MCMCglmm mediation merDeriv metaBMA metafor mfx mice mmrm multcomp MuMIn NbClust nFactors nestedLogit openxlsx ordinal panelr pbkrtest PCDimension performance >= 0.10.8 plm PMCMRplus poorman posterior PROreg pscl psych pvclust quantreg randomForest rmarkdown rms rstanarm sandwich see sparsepca survey testthat >= 3.2.1 tidyselect tinytable TMB truncreg VGAM withr WRS2

Suggests (108)

AER

afex

aod

BayesFactor

BayesFM

blme