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parameters  

Processing of Model Parameters
View on CRAN: Click here


Download and install parameters package within the R console
Install from CRAN:
install.packages("parameters")

Install from Github:
library("remotes")
install_github("cran/parameters")

Install by package version:
library("remotes")
install_version("parameters", "0.24.2")



Attach the package and use:
library("parameters")
Maintained by
Daniel Lüdecke
[Scholar Profile | Author Map]
First Published: 2019-08-26
Latest Update: 2023-05-26
Description:
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).
How to cite:
Daniel Lüdecke (2019). parameters: Processing of Model Parameters. R package version 0.24.2, https://cran.r-project.org/web/packages/parameters. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-08-26 10:30), 0.2.0 (2019-09-26 12:40), 0.3.0 (2019-11-20 09:50), 0.4.0 (2020-01-14 22:30), 0.4.1 (2020-01-17 10:40), 0.5.0 (2020-02-09 20:40), 0.6.0 (2020-03-12 13:40), 0.6.1 (2020-04-08 12:10), 0.7.0 (2020-05-18 20:40), 0.8.0 (2020-06-08 07:20), 0.8.2 (2020-07-24 21:30), 0.8.5 (2020-09-12 07:50), 0.8.6 (2020-09-21 18:30), 0.9.0 (2020-10-29 10:10), 0.10.0 (2020-12-01 18:30), 0.10.1 (2020-12-08 09:10), 0.11.0 (2021-01-15 14:10), 0.12.0 (2021-02-21 18:30), 0.13.0 (2021-04-08 23:30), 0.14.0 (2021-05-29 18:30), 0.15.0 (2021-10-19 00:30), 0.16.0 (2022-01-12 15:52), 0.17.0 (2022-03-10 11:10), 0.18.0 (2022-05-24 21:10), 0.18.1 (2022-05-29 07:50), 0.18.2 (2022-08-10 17:50), 0.19.0 (2022-10-05 13:30), 0.20.0 (2022-11-22 00:40), 0.20.1 (2023-01-11 12:00), 0.20.2 (2023-01-27 14:40), 0.20.3 (2023-04-05 18:40), 0.21.0 (2023-04-19 14:40), 0.21.1 (2023-05-26 12:20), 0.21.2 (2023-09-16 15:50), 0.21.3 (2023-11-02 15:50), 0.21.4 (2024-02-04 01:10), 0.21.5 (2024-02-07 13:50), 0.21.6 (2024-03-18 09:30), 0.21.7 (2024-05-14 10:13), 0.22.0 (2024-06-20 07:30), 0.22.1 (2024-07-21 14:00), 0.22.2 (2024-09-04 00:10), 0.23.0 (2024-10-18 13:10), 0.24.0 (2024-11-27 13:00), 0.24.1 (2025-01-14 17:40)
Other packages that cited parameters R package
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Complete documentation for parameters
Functions, R codes and Examples using the parameters R package
Some associated functions: bootstrap_model . bootstrap_parameters . ci.default . cluster_analysis . cluster_centers . cluster_discrimination . cluster_meta . cluster_performance . compare_parameters . convert_efa_to_cfa . degrees_of_freedom . display.parameters_model . dominance_analysis . dot-data_frame . dot-factor_to_dummy . dot-filter_component . dot-n_factors_bartlett . dot-n_factors_bentler . dot-n_factors_cng . dot-n_factors_mreg . dot-n_factors_scree . dot-n_factors_sescree . equivalence_test.lm . fish . format_df_adjust . format_order . format_p_adjust . format_parameters . get_scores . model_parameters.BFBayesFactor . model_parameters.aov . model_parameters.averaging . model_parameters.befa . model_parameters.cgam . model_parameters.default . model_parameters.htest . model_parameters.kmeans . model_parameters.merMod . model_parameters.mira . model_parameters.mlm . model_parameters . model_parameters.principal . model_parameters.rma . model_parameters.stanreg . model_parameters.zcpglm . n_clusters . n_factors . p_calibrate . p_function . p_value.BFBayesFactor . p_value.DirichletRegModel . p_value . p_value.poissonmfx . p_value.zcpglm . p_value_betwithin . p_value_kenward . p_value_ml1 . p_value_satterthwaite . parameters-package . parameters_type . pool_parameters . predict.parameters_clusters . principal_components . print.parameters_model . qol_cancer . random_parameters . reduce_parameters . reexports . reshape_loadings . select_parameters . simulate_model . simulate_parameters . sort_parameters . standard_error . standardize_info . standardize_parameters . 
Some associated R codes: 1_model_parameters.R . 2_ci.R . 3_p_value.R . 4_standard_error.R . 5_simulate_model.R . bootstrap_model-emmeans.R . bootstrap_model.R . bootstrap_parameters.R . ci_betwithin.R . ci_generic.R . ci_kenward.R . ci_ml1.R . ci_profile_boot.R . ci_satterthwaite.R . cluster_analysis.R . cluster_centers.R . cluster_discrimination.R . cluster_meta.R . cluster_performance.R . compare_parameters.R . convert_efa_to_cfa.R . datasets.R . display.R . dof.R . dof_betwithin.R . dof_kenward.R . dof_ml1.R . dof_satterthwaite.R . dominance_analysis.R . equivalence_test.R . extract_parameters.R . extract_parameters_anova.R . extract_random_parameters.R . extract_random_variances.R . factor_analysis.R . format.R . format_df_adjust.R . format_order.R . format_p_adjust.R . format_parameters.R . methods_AER.R . methods_BBMM.R . methods_BayesFM.R . methods_BayesFactor.R . methods_BayesX.R . methods_DirichletReg.R . methods_FactoMineR.R . methods_MCMCglmm.R . methods_PMCMRplus.R . methods_aod.R . methods_aov.R . methods_averaging.R . methods_bamlss.R . methods_base.R . methods_bayesQR.R . methods_bayestestR.R . methods_bbmle.R . methods_betareg.R . methods_bfsl.R . methods_bggm.R . methods_bife.R . methods_biglm.R . methods_brglm2.R . methods_brms.R . methods_car.R . methods_censReg.R . methods_cgam.R . methods_coda.R . methods_coxme.R . methods_coxrobust.R . methods_cplm.R . methods_crch.R . methods_dbscan.R . methods_effect_size.R . methods_eflm.R . methods_emmeans.R . methods_epi2x2.R . methods_ergm.R . methods_estimatr.R . methods_fitdistr.R . methods_fixest.R . methods_flexsurvreg.R . methods_gam.R . methods_gamlss.R . methods_gamm4.R . methods_gee.R . methods_ggeffects.R . methods_gjrm.R . methods_glm.R . methods_glmm.R . methods_glmmTMB.R . methods_glmx.R . methods_gmnl.R . methods_hclust.R . methods_htest.R . methods_ivfixed.R . methods_ivprobit.R . methods_ivreg.R . methods_kmeans.R . methods_lavaan.R . methods_lm.R . methods_lme4.R . methods_lmodel2.R . methods_lmtest.R . methods_logistf.R . methods_lqmm.R . methods_lrm.R . methods_marginaleffects.R . methods_margins.R . methods_mass.R . methods_maxLik.R . methods_mclust.R . methods_mcmc.R . methods_mediate.R . methods_merTools.R . methods_metafor.R . methods_metaplus.R . methods_mfx.R . methods_mgcv.R . methods_mhurdle.R . methods_mice.R . methods_mixed.R . methods_mixmod.R . methods_mixor.R . methods_mjoint.R . methods_mlm.R . methods_mmrm.R . methods_model_fit.R . methods_multcomp.R . methods_multgee.R . methods_mvord.R . methods_nlme.R . methods_ordinal.R . methods_other.R . methods_pam.R . methods_panelr.R . methods_pglm.R . methods_plm.R . methods_posterior.R . methods_pscl.R . methods_psych.R . methods_quantreg.R . methods_robmixglm.R . methods_robustlmm.R . methods_rstan.R . methods_rstanarm.R . methods_sarlm.R . methods_scam.R . methods_selection.R . methods_sem.R . methods_skewness_kurtosis.R . methods_spaMM.R . methods_speedglm.R . methods_stats4.R . methods_survey.R . methods_survival.R . methods_systemfit.R . methods_truncreg.R . methods_tseries.R . methods_varest.R . methods_vgam.R . methods_wrs2.R . n_clusters.R . n_clusters_easystats.R . n_factors.R . n_parameters.R . p_calibrate.R . p_value_betwithin.R . p_value_kenward.R . p_value_ml1.R . p_value_satterthwaite.R . parameters_type.R . plot.R . pool_parameters.R . principal_components.R . print.compare_parameters.R . print.parameters_model.R . print_html.R . print_md.R . random_parameters.R . reduce_parameters.R . reexports.R . reshape_loadings.R . select_parameters.R . simulate_parameters.R . sort_parameters.R . standard_error_kenward.R . standard_error_satterthwaite.R . standardize_info.R . standardize_parameters.R . standardize_posteriors.R . utils.R . utils_cleaners.R . utils_clustering.R . utils_format.R . utils_model_parameters.R . utils_pca_efa.R . zzz.R .  Full parameters package functions and examples
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