Package: miceadds 3.17-44
miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'
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, <doi:10.18637/jss.v045.i03>) are implemented. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>), substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>), and features for the generation of synthetic datasets (Reiter, 2005, <doi:10.1111/j.1467-985X.2004.00343.x>; Nowok, Raab, & Dibben, 2016, <doi:10.18637/jss.v074.i11>).
Authors:
miceadds_3.17-44.tar.gz
miceadds_3.17-44.tar.gz(r-4.5-noble)miceadds_3.17-44.tar.gz(r-4.4-noble)
miceadds_3.17-44.tgz(r-4.4-emscripten)miceadds_3.17-44.tgz(r-4.3-emscripten)
miceadds.pdf |miceadds.html✨
miceadds/json (API)
NEWS
# Install 'miceadds' in R: |
install.packages('miceadds', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexanderrobitzsch/miceadds/issues
- data.allison.gssexp - Datasets from Allison's _Missing Data_ Book
- data.allison.hip - Datasets from Allison's _Missing Data_ Book
- data.allison.usnews - Datasets from Allison's _Missing Data_ Book
- data.enders.depression - Datasets from Enders' _Missing Data_ Book
- data.enders.eatingattitudes - Datasets from Enders' _Missing Data_ Book
- data.enders.employee - Datasets from Enders' _Missing Data_ Book
- data.graham.ex3 - Datasets from Grahams _Missing Data_ Book
- data.graham.ex6 - Datasets from Grahams _Missing Data_ Book
- data.graham.ex8a - Datasets from Grahams _Missing Data_ Book
- data.graham.ex8b - Datasets from Grahams _Missing Data_ Book
- data.graham.ex8c - Datasets from Grahams _Missing Data_ Book
- data.internet - Dataset Internet
- data.largescale - Large-scale Dataset for Testing Purposes
- data.ma01 - Example Datasets for 'miceadds' Package
- data.ma02 - Example Datasets for 'miceadds' Package
- data.ma03 - Example Datasets for 'miceadds' Package
- data.ma04 - Example Datasets for 'miceadds' Package
- data.ma05 - Example Datasets for 'miceadds' Package
- data.ma06 - Example Datasets for 'miceadds' Package
- data.ma07 - Example Datasets for 'miceadds' Package
- data.ma08 - Example Datasets for 'miceadds' Package
- data.ma09 - Example Datasets for 'miceadds' Package
- data.smallscale - Small-Scale Dataset for Testing Purposes
Last updated 11 months agofrom:e0814b42dd. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-linux-x86_64 | OK | Nov 05 2024 |
Exports:create.designMatrices.waldtestcrlremcwccxxfunction.copydatalist2midsdatlist_createdatlist2Ameliadatlist2midsdatlist2nested.datlistdraw.pv.cttfast.groupmeanfast.groupsumfilename_splitfilename_split_vecfiles_movefleishman_coeffleishman_simglm.clustergmgrep_leadinggrep.vecgrepvecgrepvec_leadingGroupMeanGroupSDGroupSumin_CIindex.dataframejomo2datlistjomo2midskernelpls.fit2library_installList2nestedListlm.clusterlmer_poollmer_pool2lmer_vcovlmer_vcov2load.dataload.filesload.Rdataload.Rdata2ma_existsma_exists_getma_lme4_formula_design_matricesma_lme4_formula_termsma_rmvnormma.scale2ma.wtd.corNAma.wtd.covNAma.wtd.kurtosisNAma.wtd.meanNAma.wtd.quantileNAma.wtd.sdNAma.wtd.skewnessNAmax0mean0mi_dstatmi.anovamice_imputation_get_statesmice_initsmice.1chainmice.impute.2l.binarymice.impute.2l.contextual.normmice.impute.2l.contextual.pmmmice.impute.2l.continuousmice.impute.2l.groupmeanmice.impute.2l.groupmean.elimmice.impute.2l.latentgroupmean.mcmcmice.impute.2l.latentgroupmean.mlmice.impute.2l.plausible.valuesmice.impute.2l.plsmice.impute.2l.pls2mice.impute.2l.pmmmice.impute.2lonly.functionmice.impute.2lonly.norm2mice.impute.2lonly.pmm2mice.impute.bygroupmice.impute.catpmmmice.impute.constantmice.impute.hotDeckmice.impute.imputeR.cFunmice.impute.imputeR.lmFunmice.impute.lmmice.impute.lm_funmice.impute.lqsmice.impute.ml.lmermice.impute.plausible.valuesmice.impute.plsmice.impute.pmm3mice.impute.pmm4mice.impute.pmm5mice.impute.pmm6mice.impute.rlmmice.impute.simputationmice.impute.smcfcsmice.impute.synthpopmice.impute.tricube.pmmmice.impute.tricube.pmm2mice.impute.weighted.normmice.impute.weighted.pmmmice.nmimiceadds_rcpp_ml_mcmc_compute_xtxmiceadds_rcpp_ml_mcmc_compute_ztzmiceadds_rcpp_ml_mcmc_predict_fixedmiceadds_rcpp_ml_mcmc_predict_fixed_randommiceadds_rcpp_ml_mcmc_predict_randommiceadds_rcpp_ml_mcmc_predict_random_listmiceadds_rcpp_ml_mcmc_probit_category_probmiceadds_rcpp_ml_mcmc_sample_betamiceadds_rcpp_ml_mcmc_sample_latent_probitmiceadds_rcpp_ml_mcmc_sample_psimiceadds_rcpp_ml_mcmc_sample_sigma2miceadds_rcpp_ml_mcmc_sample_thresholdsmiceadds_rcpp_ml_mcmc_sample_umiceadds_rcpp_ml_mcmc_subtract_fixedmiceadds_rcpp_ml_mcmc_subtract_randommiceadds_rcpp_pnormmiceadds_rcpp_qnormmiceadds_rcpp_rtnormmicombine.chisquaremicombine.cormicombine.covmicombine.FMIcombine.NestedImputationResultListmids2datlistmin0MIwaldtestml_mcmcml_mcmc_fitnested.datlist_createnested.datlist2datlistNestedImputationListnestedList2ListNMIcombineNMIextractNMIwaldtestnnig_coefnnig_simoutput.format1pca.covridgepool_mipool_nmipool.mids.nmiprop_missquantile0rcpp_create_header_fileRcppfunction_remove_classesread.fwf2RevalRevalprRevalpr_maxabsRevalpr_roundRevalprstrRfunction_include_argument_valuesRfunction_output_list_result_functionRhat.miceround2Rsessinfosave.datasave.Rdatascale_datlistscan.vecscan.vectorscan0sd0source.allsource.Rcpp.allstats0str_C.expand.gridstring_extract_partstring_to_matrixsubset_datlistsumpreserving.roundingsyn_dasyn_micesyn.constantsyn.micesystimetw.imputationtw.mcmc.imputationvar0VariableNames2StringvisitSequence.determinewithin.imputationListwithPool_MIwithPool_NMIwrite.datlistwrite.fwf2write.mice.imputationwrite.pspp
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayonDBIdplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmitoolsnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppArmadilloRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr