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miceadds  

Some Additional Multiple Imputation Functions, Especially for 'mice'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("miceadds", "3.17-44")



Attach the package and use:
library("miceadds")
Maintained by
Alexander Robitzsch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-19
Latest Update: 2024-01-09
Description:
Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, ) are implemented. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, ), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, ; van Buuren, 2018, Ch.7, ), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, ), substantive model compatible imputation (Bartlett et al., 2015, ), and features for the generation of synthetic datasets (Reiter, 2005, ; Nowok, Raab, & Dibben, 2016, ).
How to cite:
Alexander Robitzsch (2014). miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'. R package version 3.17-44, https://cran.r-project.org/web/packages/miceadds. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.11-121 (2014-02-19 16:47), 0.12-9 (2014-05-08 12:00), 0.13-7 (2014-06-27 18:40), 0.14-9 (2014-07-30 18:31), 1.0 (2014-11-08 01:55), 1.1-1 (2015-02-23 23:08), 1.2-0 (2015-05-21 01:08), 1.3-0 (2015-07-10 20:32), 1.4-0 (2015-11-04 19:04), 1.5-0 (2015-11-22 11:48), 1.6-0 (2016-01-30 19:09), 1.7-8 (2016-02-18 15:38), 1.8-0 (2016-05-31 23:15), 1.9-0 (2016-07-13 16:17), 2.0-0 (2016-08-29 14:16), 2.1-0 (2016-11-25 19:48), 2.2-0 (2017-01-11 17:13), 2.3-0 (2017-02-21 16:56), 2.4-12 (2017-04-19 17:46), 2.5-9 (2017-06-17 17:53), 2.6-21 (2017-08-09 13:14), 2.7-19 (2017-08-24 23:35), 2.8-24 (2017-11-20 20:21), 2.9-15 (2017-12-18 17:33), 2.10-14 (2018-03-29 17:33), 2.11-87 (2018-05-21 17:17), 2.12-24 (2018-06-06 12:38), 2.13-63 (2018-07-05 19:30), 2.14-26 (2018-09-18 12:00), 2.15-22 (2018-10-19 14:00), 3.0-16 (2018-12-11 13:20), 3.1-37 (2019-03-18 13:10), 3.2-48 (2019-04-15 20:22), 3.3-33 (2019-05-11 20:30), 3.4-17 (2019-06-19 13:20), 3.5-14 (2019-08-23 14:10), 3.6-21 (2019-11-04 15:50), 3.7-6 (2019-12-15 14:50), 3.8-9 (2020-02-17 20:00), 3.9-14 (2020-05-09 14:20), 3.10-28 (2020-07-30 07:00), 3.11-6 (2021-01-21 12:40), 3.12-26 (2022-04-04 13:30), 3.13-12 (2022-06-01 10:10), 3.14-3 (2022-08-25 11:20), 3.15-21 (2022-09-22 10:40), 3.16-18 (2023-01-06 23:30)
Other packages that cited miceadds R package
View miceadds citation profile
Other R packages that miceadds depends, imports, suggests or enhances
Complete documentation for miceadds
Functions, R codes and Examples using the miceadds R package
Some associated functions: GroupMean . NMIwaldtest . NestedImputationList . Reval . Rfunction_include_argument_values . Rhat.mice . Rsessinfo . VariableNames2String . complete.miceadds . crlrem . cxxfunction.copy . data.allison . data.enders . data.graham . data.internet . data.largescale . data.ma . data.smallscale . datalist2mids . datlist2Amelia . datlist_create . draw.pv.ctt . filename_split . files_move . fleishman_sim . grep.vec . in_CI . index.dataframe . jomo2datlist . kernelpls.fit2 . library_install . lm.cluster . lmer_vcov . load.Rdata . load.data . ma.scale2 . ma.wtd.statNA . ma_lme4_formula_terms . ma_rmvnorm . mi.anova . mi_dstat . mice.1chain . mice.impute.2l.contextual.pmm . mice.impute.2l.latentgroupmean.ml . mice.impute.2lonly.function . mice.impute.bygroup . mice.impute.catpmm . mice.impute.constant . mice.impute.hotDeck . mice.impute.imputeR.lmFun . mice.impute.ml.lmer . mice.impute.plausible.values . mice.impute.pls . mice.impute.pmm3 . mice.impute.rlm . mice.impute.simputation . mice.impute.smcfcs . mice.impute.synthpop . mice.impute.tricube.pmm . mice.impute.weighted.pmm . mice.nmi . mice_imputation_2l_lmer . mice_inits . miceadds-defunct . miceadds-package . miceadds-utilities . micombine.F . micombine.chisquare . micombine.cor . mids2datlist . mids2mlwin . ml_mcmc . nestedList2List . nnig_sim . output.format1 . pca.covridge . pool.mids.nmi . pool_mi . round2 . save.Rdata . save.data . scale_datlist . scan.vector . source.all . stats0 . str_C.expand.grid . subset_datlist . sumpreserving.rounding . syn.constant . syn.formula . syn.mice . syn_da . syn_mice . systime . tw.imputation . visitSequence.determine . with.miceadds . write.datlist . write.fwf2 . write.mice.imputation . write.pspp . 
Some associated R codes: ANSI_create_table.R . ANSI_create_table_check_variable_values.R . ANSI_extend_table.R . ANSI_fomat_latex_table.R . ANSI_matrix_include_cols.R . ANSI_matrix_include_rows.R . GroupMean.R . GroupMean_extend_data.R . GroupMean_group_indices.R . GroupSD.R . GroupSum.R . List2nestedList.R . MIcombine.NestedImputationResultList.R . MIwaldtest.R . MIwaldtest_qhat2list.R . MIwaldtest_u2list.R . NMIcombine.R . NMIcombine_include_dimnames.R . NMIextract.R . NMIwaldtest.R . NMIwaldtest_compute_statistic.R . NMIwaldtest_qhat2list.R . NMIwaldtest_u2list.R . NestedImputationList.R . RcppExports.R . Rcppfunction_remove_classes.R . Reval.R . Revalpr.R . Revalpr_maxabs.R . Revalpr_round.R . Revalprstr.R . Rfunction_include_argument_values.R . Rfunction_output_list_result_function.R . Rhat.mice.R . Rhat1.R . Rsessinfo.R . VariableNames2String.R . coef.lmer_vcov.R . coef.ml_mcmc.R . complete.miceadds.R . cor2fisher.R . cor_avoid_zero.R . covTest.R . create.designMatrices.waldtest.R . create_interactions.R . crlrem.R . cronbach_alpha.R . cwc.R . cxxfunction.copy.R . datalist2mids.R . datlist2Amelia.R . datlist2nested.datlist.R . datlist_create.R . draw.pv.ctt.R . extract_response_matrix.R . fast.groupmean.R . fast.groupsum.R . file_path.R . filename_split.R . filename_split_vec.R . files_move.R . fisher2cor.R . fleishman_coef.R . fleishman_sim.R . glm.cluster.R . gm.R . grep.vec.R . grep_leading.R . grepvec.R . grepvec_leading.R . in_CI.R . include.2l.predictors_v1.R . index.dataframe.R . inverse_logit.R . jomo2datlist.R . jomo2mids.R . kernelpls.fit2.R . latent.regression.em.R . latent_regression_em_sampling.R . library_install.R . lm.cluster.R . lm_cluster_compute_vcov.R . lm_cluster_subset.R . lmer_extract_sd_random_effects.R . lmer_pool.R . lmer_pool2.R . lmer_pool_wrapper.R . lmer_vcov.R . lmer_vcov2.R . load.Rdata.R . load.Rdata2.R . load.data.R . load.files.R . ma.scale2.R . ma.wtd.corNA.R . ma.wtd.covNA.R . ma.wtd.kurtosisNA.R . ma.wtd.meanNA.R . ma.wtd.quantileNA.R . ma.wtd.sdNA.R . ma.wtd.skewnessNA.R . ma_colMeans.R . ma_colMode.R . ma_colQuantile.R . ma_colSD.R . ma_exists.R . ma_exists_get.R . ma_inherits_or.R . ma_lme4_formula_design_matrices.R . ma_lme4_formula_terms.R . ma_rhat.R . ma_rmvnorm.R . ma_wtd_cov_NA_compute_wtd_cov.R . ma_wtd_stat_prepare_data.R . max0.R . mean0.R . mi.anova.R . mi_dstat.R . mice.1chain.R . mice.impute.2l.binary.R . mice.impute.2l.contextual.norm.R . mice.impute.2l.contextual.pmm.R . mice.impute.2l.continuous.R . mice.impute.2l.groupmean.R . mice.impute.2l.groupmean.elim.R . mice.impute.2l.latentgroupmean.mcmc.R . mice.impute.2l.latentgroupmean.ml.R . mice.impute.2l.plausible.values.R . mice.impute.2l.pls.R . mice.impute.2l.pls2.R . mice.impute.2l.pmm.R . mice.impute.2lonly.function.R . mice.impute.2lonly.norm2.R . mice.impute.2lonly.pmm2.R . mice.impute.bygroup.R . mice.impute.catpmm.R . mice.impute.constant.R . mice.impute.eap.R . mice.impute.hotDeck.R . mice.impute.imputeR.cFun.R . mice.impute.imputeR.lmFun.R . mice.impute.lm.R . mice.impute.lm_fun.R . mice.impute.lqs.R . mice.impute.ml.lmer.R . mice.impute.norm3.R . mice.impute.plausible.values.R . mice.impute.pls.R . mice.impute.pmm3.R . mice.impute.pmm4.R . mice.impute.pmm5.R . mice.impute.pmm6.R . mice.impute.rlm.R . mice.impute.simputation.R . mice.impute.smcfcs.R . mice.impute.synthpop.R . mice.impute.tricube.pmm.R . mice.impute.tricube.pmm2.R . mice.impute.weighted.norm.R . mice.impute.weighted.pmm.R . mice.nmi.R . mice_1chain_check_input.R . mice_imputation_2l_lmer.R . mice_imputation_add_jitter.R . mice_imputation_args_include_wy.R . mice_imputation_bygroup_modify_arguments.R . mice_imputation_create_contextual_variables.R . mice_imputation_create_interactions.R . mice_imputation_create_type_vector.R . mice_imputation_define_wy.R . mice_imputation_extract_arguments_list.R . mice_imputation_extract_list_arguments.R . mice_imputation_extract_parameters_bc.R . mice_imputation_extract_parameters_lm.R . mice_imputation_extract_parameters_yj.R . mice_imputation_factor_pmm_convert_factor.R . mice_imputation_factor_pmm_prepare.R . mice_imputation_get_states.R . mice_imputation_imputeR.R . mice_imputation_include_cluster_effect.R . mice_imputation_input_data_frame.R . mice_imputation_linear_model_main.R . mice_imputation_multilevel_include_2l_predictors.R . mice_imputation_multilevel_lmerControl_define_optimizer.R . mice_imputation_new_proposal.R . mice_imputation_norm_draw.R . mice_imputation_pls_clean_missings.R . mice_imputation_pls_correlation_criteria.R . mice_imputation_pls_do_impute.R . mice_imputation_pls_draw_bootstrap_sample.R . mice_imputation_pls_estimate_pls_regression.R . mice_imputation_pls_helper.R . mice_imputation_pls_include_derived_vars.R . mice_imputation_pls_include_interactions.R . mice_imputation_pls_include_quadratics.R . mice_imputation_pls_largest_correlations.R . mice_imputation_pls_pca_reduction.R . mice_imputation_pls_pmm_match.R . mice_imputation_pls_print_progress1.R . mice_imputation_pls_print_progress2.R . mice_imputation_pls_print_progress3.R . mice_imputation_pls_scale_x.R . mice_imputation_pls_type_multilevel_models.R . mice_imputation_prepare_2l_functions.R . mice_imputation_refresh_update_factor.R . mice_imputation_smcfcs_clean_input.R . mice_imputation_smcfcs_draw_bootstrap_sample.R . mice_imputation_smcfcs_estimate_model.R . mice_imputation_smcfcs_evaluate_loglikelihood.R . mice_imputation_smcfcs_evaluate_loglikelihood_model.R . mice_imputation_smcfcs_require_namespace.R . mice_imputation_transformation.R . mice_imputation_tricube_pmm_match.R . mice_imputation_weighted_norm_draw.R . mice_imputation_weighted_norm_prepare.R . mice_impute_catpmm_add_noise_x.R . mice_impute_catpmm_create_dummies_y.R . mice_impute_imputeR_draw_bootstrap.R . mice_impute_pls_catpmm_R2.R . mice_inits.R . mice_ml_lmer_aggregate_data_higher_level.R . mice_ml_lmer_arrange_cluster_identifiers.R . mice_ml_lmer_choice_aggregated_variables.R . mice_ml_lmer_collect_lme4_input.R . mice_ml_lmer_construct_lme4_formula.R . mice_ml_lmer_define_lmer_function.R . mice_ml_lmer_define_predicted_umat.R . mice_ml_lmer_draw_random_effects.R . mice_ml_lmer_draw_random_effects_in_iterations.R . mice_ml_lmer_extend_imputed_values_lower_level.R . mice_ml_lmer_extract_input.R . mice_ml_lmer_include_cluster_means.R . mice_ml_lmer_interactions_pls.R . mice_multilevel_add_groupmeans.R . mice_multilevel_create_formula.R . mice_multilevel_doCall_suppressWarnings.R . mice_multilevel_draw_binomial.R . mice_multilevel_draw_rnorm1.R . mice_multilevel_imputation_blme_args.R . mice_multilevel_imputation_draw_random_effects.R . mice_multilevel_imputation_draw_residuals.R . mice_multilevel_imputation_pmm5.R . mice_multilevel_impute_groupmean.R . miceadds_call_internal.R . miceadds_ginv.R . miceadds_import_CDM_CDM_rmvnorm.R . miceadds_import_mitools_MIcombine.R . miceadds_import_mitools_imputationList.R . miceadds_matrix2.R . miceadds_weighted_centering.R . miceadds_weighted_colMeans.R . miceadds_weighted_scaling_y.R . micombine.F.R . micombine.chisquare.R . micombine.cor.R . micombine.cov.R . micombine_cor_compute.R . micombine_cov_compute.R . mids2datlist.R . mids2mlwin.R . min0.R . ml_mcmc.R . ml_mcmc_create_parameter_index.R . ml_mcmc_fit.R . ml_mcmc_initial_values.R . ml_mcmc_parameter_index_matrix.R . ml_mcmc_proc_data.R . ml_mcmc_summary_print_descriptives.R . nested.datlist2datlist.R . nested.datlist_create.R . nestedList2List.R . nesteddatlist2datlist.R . nnig_coef.R . nnig_sim.R . normalize_vector.R . output.format1.R . pca.covridge.R . plausible.value.draw.R . plausible.value.imputation.R . plot.mids.1chain.R . plot.ml_mcmc.R . pool.mi.R . pool.mids.nmi.R . pool_nmi_scalar_helper.R . predict.kernelfit.pls2.R . prop_miss.R . quantile0.R . rcpp_create_header_file.R . read.fwf2.R . replace_values_vector.R . require_namespace.R . round2.R . save.Rdata.R . save.data.R . save_data_calc_filename.R . scale_datlist.R . scan.vec.R . scan0.R . sd0.R . sirt_subset_object.R . source.Rcpp.all.R . source.all.R . stats0.R . str_C.expand.grid.R . string_extract_part.R . string_find_first.R . string_find_last.R . string_to_matrix.R . subset_datlist.R . subset_datlist_modify_factor_levels.R . subset_nested.datlist.R . summary.MIwaldtest.R . summary.NMIwaldtest.R . summary.lmer_pool.R . summary.lmer_vcov.R . summary.mipo.nmi.R . summary.mira.nmi.R . summary.ml_mcmc.R . summaryMIwaldtest_linear_hyp.R . sumpreserving.rounding.R . syn.constant.R . syn.formula.R . syn.mice.R . syn_da.R . syn_da_compute_pls_factors.R . syn_da_create_formula.R . syn_da_extend_vector.R . syn_da_synthesize_lm.R . syn_mice.R . syn_mice_catch_arguments.R . syn_mice_completed_datasets.R . syn_mice_create_argument_list.R . syn_mice_create_design_matrix.R . systime.R . tw.imputation.R . tw.mcmc.imputation.R . var0.R . vcov.lmer_vcov.R . vcov.ml_mcmc.R . vector2matrix.R . visitSequence.determine.R . visitSequence_determine_add_entry.R . visitSequence_determine_equal_vecs.R . visitSequence_determine_handle_variable.R . visitSequence_determine_remove_entry.R . with.NestedImputationList.R . with.datlist.R . with.mids.1chain.R . with.mids.nmi.R . with.nested.datlist.R . withPool.R . within.NestedImputationList.R . within.datlist.R . within.imputationList.R . within.nested.datlist.R . write.datlist.R . write.fwf2.R . write.mice.imputation.R . write.pspp.R . write_fwf2_format2.R . zzz.R .  Full miceadds package functions and examples
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