miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'
Version 2.4-12

Contains some auxiliary functions for multiple imputation which complements existing functionality in R. In addition to some utility functions, main features include plausible value imputation, multilevel imputation functions, imputation using partial least squares (PLS) for high dimensional predictors, nested multiple imputation.

Author Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Date of publication2017-04-19 15:46:55 UTC
Maintainer Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
LicenseGPL (>= 2)
Version2.4-12
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("miceadds")

Getting started

Package overview

Popular man pages

lm.cluster: Cluster Robust Standard Errors for Linear Models and General...
mi.anova: Analysis of Variance for Multiply Imputed Data Sets (Using...
micombine.chisquare: Combination of Chi Square Statistics of Multiply Imputed...
scale_datlist: Adding a Standardized Variable to a List of Multiply Imputed...
subset_datlist: Subsetting Multiply Imputed Datasets and Nested Multiply...
write.fwf2: Reading and Writing Files in Fixed Width Format
write.mice.imputation: Export Multiply Imputed Datasets from a 'mids' Object
See all...

All man pages Function index File listing

Man pages

complete.miceadds: Creates Imputed Dataset from a 'mids.nmi' or 'mids.1chain'...
crlrem: R Utilities: Removing CF Line Endings
cxxfunction.copy: R Utilities: Copy of an 'Rcpp' File
data.allison: Datasets from Allison's _Missing Data_ Book
data.enders: Datasets from Enders' _Missing Data_ Book
data.graham: Datasets from Grahams _Missing Data_ Book
data.internet: Dataset Internet
data.largescale: Large-scale Dataset for Testing Purposes (Many Cases, Few...
datalist2mids: Converting a List of Multiply Imputed Data Sets into a 'mids'...
data.ma: Example Datasets for 'miceadds' Package
data.smallscale: Small-Scale Dataset for Testing Purposes (Moderate Number of...
datlist_create: Creates Objects of Class 'datlist' or 'nested.datlist'
draw.pv.ctt: Plausible Value Imputation Using a Known Measurement Error...
filename_split: Splits a File Name into Parts
files_move: Moves Files from One Directory to Another Directory
grep.vec: R Utilities: Vector Based Version of 'grep'
GroupMean: Calculation of Groupwise Descriptive Statistics for Matrices
index.dataframe: R Utilities: Include an Index to a Data Frame
jomo2datlist: Converts a 'jomo' Data Frame in Long Format into a List of...
kernelpls.fit2: Kernel PLS Regression
library_install: R Utilities: Loading a Package or Installation of a Package...
lm.cluster: Cluster Robust Standard Errors for Linear Models and General...
load.data: R Utilities: Loading/Reading Data Files using 'miceadds'
load.Rdata: R Utilities: Loading 'Rdata' Files in a Convenient Way
ma.scale2: Standardization of a Matrix
ma.wtd.statNA: Some Multivariate Descriptive Statistics for Weighted Data in...
mi.anova: Analysis of Variance for Multiply Imputed Data Sets (Using...
mice.1chain: Multiple Imputation by Chained Equations using One Chain
miceadds-defunct: Defunct 'miceadds' Functions
miceadds-package: Some Additional Multiple Imputation Functions, Especially for...
mice.impute.2l.contextual.norm: Imputation by Normal Linear Regression with Contextual...
mice.impute.2l.contextual.pmm: Imputation by Predictive Mean Matching with Contextual...
mice.impute.2l.latentgroupmean.ML: Imputation of Latent and Manifest Group Means for Multilevel...
mice.impute.2l.lmer: Imputation of a Continuous or a Binary Variable From a...
mice.impute.2lonly.function: Imputation at Level 2 (in 'miceadds')
mice.impute.bygroup: Groupwise Imputation Function
mice.impute.eap: Imputation of a Variable with a Known Posterior Distribution
mice.impute.grouped: Imputation of a Variable with Grouped Values
mice.impute.hotDeck: Imputation of a Variable Using Probabilistic Hot Deck...
mice.impute.plausible.values: Plausible Value Imputation using Classical Test Theory and...
mice.impute.pls: Imputation using Partial Least Squares for Dimension...
mice.impute.pmm3: Imputation by Predictive Mean Matching (in 'miceadds')
mice.impute.tricube.pmm: Imputation by Tricube Predictive Mean Matching
mice.impute.weighted.norm: Imputation by a Weighted Linear Normal Regression
mice.impute.weighted.pmm: Imputation by Weighted Predictive Mean Matching
mice.nmi: Nested Multiple Imputation
micombine.chisquare: Combination of Chi Square Statistics of Multiply Imputed...
micombine.cor: Inference for Correlations and Covariances for Multiply...
micombine.F: Combination of F Statistics for Multiply Imputed Datasets...
mids2datlist: Converting a 'mids', 'mids.1chain' or 'mids.nmi' Object in a...
mids2mlwin: Export 'mids' object to MLwiN
mi_dstat: Cohen's d Effect Size for Missingness Indicators
NestedImputationList: Functions for Analysis of Nested Multiply Imputed Datasets
nestedList2List: Converting a Nested List into a List (and Vice Versa)
NMIwaldtest: Wald Test for Nested Multiply Imputed Datasets
output.format1: R Utilities: Formatting R Output on the R Console
pca.covridge: Principal Component Analysis with Ridge Regularization
pool_mi: Statistical Inference for Multiply Imputed Datasets
pool.mids.nmi: Pooling for Nested Multiple Imputation
Reval: R Utilities: Evaluates a String as an Expression in R
Rhat.mice: Rhat Convergence Statistic of a 'mice' Imputation
round2: R Utilities: Rounding DIN 1333 (Kaufmaennisches Runden)
Rsessinfo: R Utilities: R Session Information
save.data: R Utilities: Saving/Writing Data Files using 'miceadds'
save.Rdata: R Utilities: Save a Data Frame in 'Rdata' Format
scale_datlist: Adding a Standardized Variable to a List of Multiply Imputed...
scan.vector: R Utilities: Scan a Character Vector
source.all: R Utilities: Source All R Files Within a Directory
stats0: Descriptive Statistics for a Vector or a Data Frame
str_C.expand.grid: R Utilities: String Paste Combined with 'expand.grid'
subset_datlist: Subsetting Multiply Imputed Datasets and Nested Multiply...
sumpreserving.rounding: Sum Preserving Rounding
systime: R Utilities: Various Strings Representing System Time
tw.imputation: Two-Way Imputation
VariableNames2String: Stringing Variable Names with Line Breaks
visitSequence.determine: Automatic Determination of a Visit Sequence in 'mice'
with.miceadds: Evaluates an Expression for (Nested) Multiply Imputed...
write.datlist: Write a List of Multiply Imputed Datasets
write.fwf2: Reading and Writing Files in Fixed Width Format
write.mice.imputation: Export Multiply Imputed Datasets from a 'mids' Object
write.pspp: Writing a Data Frame into SPSS Format Using PSPP Software

Functions

ANSI_create_table Source code
ANSI_extend_table Source code
ANSI_format_latex_table Source code
ANSI_matrix_include_cols Source code
ANSI_matrix_include_rows Source code
GroupMean Man page Source code
GroupSD Man page Source code
GroupSum Man page Source code
List2nestedList Man page Source code
MIcombine.NestedImputationResultList Man page Source code
MIwaldtest Man page Source code
NMIcombine Man page Source code
NMIextract Man page Source code
NMIwaldtest Man page Source code
NestedImputationList Man page Source code
Reval Man page Source code
Revalpr Man page Source code
Revalprstr Man page Source code
Rfunction_include_argument_values Source code
Rhat Source code
Rhat.mice Man page Source code
Rhat1 Source code
Rsessinfo Man page Source code
VariableNames2String Man page Source code
a2l.contextual.auxiliary Source code
add.entry Source code
antilogit Source code
attach.environment Source code Source code
aux.pls.imputation Source code
calc_filename Source code
coef.glm.cluster Man page Source code
coef.lm.cluster Man page Source code
coef.mipo.nmi Man page Source code
coef.pool_mi Man page Source code
complete.mids.1chain Man page Source code
complete.mids.nmi Man page Source code
cor2fisher Source code
cor_avoid_zero Source code
covTest Source code
create.designMatrices.waldtest Man page Source code
create_interactions Source code
create_interactions_cpp Source code
crlrem Man page Source code Source code
cronbach.alpha Source code
cxxfunction.copy Man page Source code
data.allison Man page
data.allison.gssexp Man page
data.allison.hip Man page
data.allison.usnews Man page
data.enders Man page
data.enders.depression Man page
data.enders.eatingattitudes Man page
data.enders.employee Man page
data.graham Man page
data.graham.ex3 Man page
data.graham.ex6 Man page
data.graham.ex8a Man page
data.graham.ex8b Man page
data.graham.ex8c Man page
data.internet Man page
data.largescale Man page
data.ma Man page
data.ma01 Man page
data.ma02 Man page
data.ma03 Man page
data.ma04 Man page
data.ma05 Man page
data.ma06 Man page
data.smallscale Man page
datalist2mids Man page Source code
datlist2mids Man page
datlist2nested.datlist Man page Source code
datlist_create Man page Source code
draw.pv.ctt Man page Source code
equal_vecs Source code
extract.list.arguments Source code
fast.groupmean Man page Source code
fast.groupsum Man page Source code
file_path Source code
filename_split Man page Source code
files_move Man page Source code
fisher2cor Source code
fisher2cor.D1 Source code
glm.cluster Man page Source code
grep.vec Man page Source code
handle.variable Source code
include.2l.predictors_v1 Source code
index.dataframe Man page Source code
jomo2datlist Man page Source code
kernelpls.fit2 Man page Source code
kernelpls_1dim Source code
kernelpls_1dim_C Source code
kernelplsaux Source code
latent.regression.em Source code
library_install Man page Source code
lm.cluster Man page Source code
load.Rdata Man page Source code
load.Rdata2 Man page Source code
load.data Man page Source code
ma.scale2 Man page Source code
ma.wtd.aux.data Source code
ma.wtd.corNA Man page Source code
ma.wtd.covNA Man page Source code
ma.wtd.curtosisNA Man page Source code
ma.wtd.meanNA Man page Source code
ma.wtd.quantileNA Man page Source code
ma.wtd.sdNA Man page Source code
ma.wtd.skewnessNA Man page Source code
ma.wtd.statNA Man page
ma_pmm6_C Source code
max0 Man page Source code
mean0 Man page Source code
mi.anova Man page Source code
mi_dstat Man page Source code
mice.1chain Man page Source code
mice.impute.2l.binary Man page Source code
mice.impute.2l.contextual.norm Man page Source code
mice.impute.2l.contextual.pmm Man page Source code
mice.impute.2l.continuous Man page Source code
mice.impute.2l.eap Man page Source code
mice.impute.2l.groupmean Man page Source code
mice.impute.2l.groupmean.elim Man page Source code
mice.impute.2l.latentgroupmean.MCMC Man page Source code
mice.impute.2l.latentgroupmean.ML Man page Source code
mice.impute.2l.lmer Source code
mice.impute.2l.plausible.values Man page Source code
mice.impute.2l.pls Man page Source code
mice.impute.2l.pls2 Man page Source code
mice.impute.2l.pmm Man page Source code
mice.impute.2lonly.function Man page Source code
mice.impute.2lonly.norm2 Man page Source code
mice.impute.2lonly.pmm2 Man page Source code
mice.impute.bygroup Man page Source code
mice.impute.eap Man page Source code
mice.impute.grouped Man page Source code
mice.impute.hotDeck Man page Source code
mice.impute.norm3 Source code
mice.impute.plausible.values Man page Source code
mice.impute.pls Man page Source code
mice.impute.pmm3 Man page Source code
mice.impute.pmm4 Man page Source code
mice.impute.pmm5 Man page Source code
mice.impute.pmm6 Man page Source code
mice.impute.tricube.pmm Man page Source code
mice.impute.tricube.pmm2 Man page Source code
mice.impute.weighted.norm Man page Source code
mice.impute.weighted.pmm Man page Source code
mice.nmi Man page Source code
mice_df Source code
mice_imputation_create_interactions Source code
mice_imputation_extract_list_arguments Source code
mice_imputation_get_states Source code
mice_imputation_include_cluster_effect Source code
mice_imputation_multilevel_include_2l_predictors Source code
mice_imputation_pls_correlation_criteria Source code
mice_imputation_pls_do_impute Source code
mice_imputation_pls_estimate_pls_regression Source code
mice_imputation_pls_helper Source code
mice_imputation_pls_include_interactions Source code
mice_imputation_pls_include_quadratics Source code
mice_imputation_pls_largest_correlations Source code
mice_imputation_pls_pca_reduction Source code
mice_imputation_pls_print_progress1 Source code
mice_imputation_pls_print_progress2 Source code
mice_imputation_pls_print_progress3 Source code
mice_imputation_pls_scale_x Source code
mice_imputation_prepare_2l_functions Source code
mice_imputation_weighted_norm_draw Source code
mice_multilevel_add_groupmeans Source code
mice_multilevel_create_formula Source code
mice_multilevel_doCall_suppressWarnings Source code
mice_multilevel_draw_binomial Source code
mice_multilevel_draw_rnorm1 Source code
mice_multilevel_imputation_blme_args Source code
mice_multilevel_imputation_draw_random_effects Source code
mice_multilevel_imputation_draw_residuals Source code
mice_multilevel_imputation_pmm5 Source code
mice_multilevel_impute_groupmean Source code
miceadds Man page
miceadds-defunct Man page
miceadds-package Man page
micombine.F Man page Source code
micombine.chisquare Man page Source code
micombine.cor Man page Source code
micombine.cov Man page Source code
mids2datlist Man page Source code
mids2mlwin Man page Source code
milist Source code
min0 Man page Source code
nested.datlist2datlist Man page Source code
nested.datlist_create Man page Source code
nestedList2List Man page Source code
nesteddatlist2datlist Source code
norm.draw2 Source code
norm.draw3 Source code
normalize_vector Source code
onAttach Source code
output.format1 Man page Source code
pca.covridge Man page Source code
plausible.value.draw Source code
plausible.value.imputation Source code
plot.mids.1chain Man page Source code
pool.mids.nmi Man page Source code
pool.nmi.scalar.helper Source code
pool_mi Man page Source code
pool_nmi Man page
predict.kernelpls.fit2 Man page Source code
print.NestedImputationList Man page Source code
print.datlist Man page Source code
print.mids.1chain Man page Source code
print.mids.nmi Man page Source code
print.nested.datlist Man page Source code
prop_miss Man page Source code
qhat2list Source code
qhat2list_MI Source code
quantile0 Man page Source code
read.fwf2 Man page Source code
remove.entry Source code
remove.lindep_miceadds Source code
round2 Man page Source code
sampling.latent.regression Source code
save.Rdata Man page Source code
save.data Man page Source code
scale2_C Source code
scale2_NA_C Source code
scale_datlist Man page Source code
scan.vec Man page
scan.vector Man page Source code
scan0 Man page Source code
sd0 Man page Source code
source.all Man page Source code
stats0 Man page Source code
str_C.expand.grid Man page Source code
sub.micombine.cor Source code
sub.micombine.cov Source code
subset.NestedImputationList Man page Source code
subset.datlist Man page Source code
subset.imputationList Man page Source code
subset.mids Man page Source code
subset.mids.1chain Man page Source code
subset.nested.datlist Man page Source code
subset_datlist Man page Source code
subset_nested.datlist Man page Source code
summary.MIwaldtest Man page Source code
summary.NMIwaldtest Man page Source code
summary.glm.cluster Man page Source code
summary.lm.cluster Man page Source code
summary.mids.1chain Man page Source code
summary.mids.nmi Man page Source code
summary.mipo.nmi Man page Source code
summary.mira.nmi Man page Source code
summary.pool_mi Man page Source code
summaryMIwaldtest_linear_hyp Source code
sumpreserving.rounding Man page Source code
systime Man page Source code
tricube.pmm.match Source code
tw.imputation Man page Source code
tw.mcmc.imputation Man page Source code
u2list Source code
u2list_MI Source code
var0 Man page Source code
vcov.glm.cluster Man page Source code
vcov.lm.cluster Man page Source code
vcov.mipo.nmi Man page Source code
vcov.pool_mi Man page Source code
vector2matrix Source code
version Source code
visitSequence.determine Man page Source code
with.NestedImputationList Man page Source code
with.datlist Man page Source code
with.mids.1chain Man page Source code
with.mids.nmi Man page Source code
with.nested.datlist Man page Source code
withPool_MI Man page Source code
withPool_NMI Man page Source code
within.NestedImputationList Man page Source code
within.datlist Man page Source code
within.imputationList Man page Source code
within.nested.datlist Man page Source code
write.datlist Man page Source code
write.format2 Source code
write.fwf2 Man page Source code
write.mice.imputation Man page Source code
write.pspp Man page Source code

Files

inst
inst/NEWS
src
src/Makevars
src/kernelpls_1dim_c.cpp
src/create_interactions_c.cpp
src/ma_scale.cpp
src/Makevars.win
src/init.c
src/RcppExports.cpp
src/ma_pmm6_csource.cpp
NAMESPACE
data
data/data.ma05.rda
data/data.graham.ex8a.rda
data/data.allison.usnews.rda
data/data.graham.ex8c.rda
data/data.enders.employee.rda
data/data.largescale.rda
data/data.graham.ex3.rda
data/data.ma03.rda
data/data.allison.hip.rda
data/data.graham.ex6.rda
data/data.ma06.rda
data/data.graham.ex8b.rda
data/data.allison.gssexp.rda
data/data.ma04.rda
data/data.ma02.rda
data/data.ma01.rda
data/data.enders.eatingattitudes.rda
data/data.internet.rda
data/data.smallscale.rda
data/data.enders.depression.rda
R
R/load.data.R
R/fast.groupmean.R
R/ma.wtd.aux.data.R
R/ma.wtd.sdNA.R
R/mice_imputation_pls_helper.R
R/complete.miceadds.R
R/mice.impute.tricube.pmm2.R
R/remove.lindep_miceadds.R
R/mice_imputation_extract_list_arguments.R
R/mice.impute.plausible.values.R
R/GroupSD.R
R/mice.impute.norm3.R
R/NMIcombine.R
R/mice_imputation_pls_scale_x.R
R/List2nestedList.R
R/str_C.expand.grid.R
R/mice_multilevel_add_groupmeans.R
R/mice.impute.pmm6.R
R/nesteddatlist2datlist.R
R/mi_dstat.R
R/mice.impute.2l.lmer.R
R/mice.impute.weighted.norm.R
R/write.fwf2.R
R/with.NestedImputationList.R
R/mice.impute.2l.latentgroupmean.ML.R
R/mice_imputation_create_interactions.R
R/lm.cluster.R
R/mice.1chain.R
R/pool.mi.R
R/save.Rdata.R
R/draw.pv.ctt.R
R/output.format1.R
R/micombine.cov.R
R/mice.impute.hotDeck.R
R/cor_avoid_zero.R
R/systime.R
R/sumpreserving.rounding.R
R/micombine.cor.R
R/quantile0.R
R/mice_imputation_pls_correlation_criteria.R
R/normalize_vector.R
R/mice_imputation_include_cluster_effect.R
R/index.dataframe.R
R/datlist_create.R
R/mice.impute.pmm3.R
R/mice_imputation_get_states.R
R/visitSequence.determine.R
R/mice_multilevel_imputation_pmm5.R
R/mice.impute.2l.contextual.norm.R
R/pca.covridge.R
R/fast.groupsum.R
R/mice_imputation_pls_print_progress1.R
R/mice_multilevel_imputation_draw_residuals.R
R/kernelpls.fit2.R
R/sub.micombine.cor.R
R/mean0.R
R/sub.micombine.cov.R
R/within.nested.datlist.R
R/mice.impute.2l.contextual.pmm.R
R/cor2fisher.R
R/withPool.R
R/mice.impute.pmm4.R
R/crlem.R
R/VariableNames2String.R
R/within.NestedImputationList.R
R/Rhat.mice.R
R/mice.impute.2lonly.pmm2.R
R/MIwaldtest.R
R/latent.regression.em.R
R/write.pspp.R
R/create.designMatrices.waldtest.R
R/write.mice.imputation.R
R/Rhat1.R
R/with.nested.datlist.R
R/mice.impute.pmm5.R
R/tw.mcmc.imputation.R
R/nested.datlist2datlist.R
R/mice_imputation_prepare_2l_functions.R
R/mice.impute.2l.pls.R
R/mice_multilevel_impute_groupmean.R
R/mice.impute.2l.continuous.R
R/mice.impute.2l.groupmean.elim.R
R/mice.impute.pls.R
R/subset_datlist.R
R/ANSI_create_table.R
R/Rsessinfo.R
R/ma.wtd.quantileNA.R
R/plausible.value.imputation.R
R/mice_imputation_pls_do_impute.R
R/summary.mira.nmi.R
R/summary.mipo.nmi.R
R/sd0.R
R/write.datlist.R
R/ANSI_fomat_latex_table.R
R/mice.impute.2l.pmm.R
R/nestedList2List.R
R/RcppExports.R
R/mice_imputation_pls_print_progress2.R
R/ma.wtd.corNA.R
R/include.2l.predictors_v1.R
R/library_install.R
R/mice.impute.tricube.pmm.R
R/norm.draw3.R
R/round2.R
R/fisher2cor.R
R/filename_split.R
R/mice.impute.2lonly.norm2.R
R/min0.R
R/mice.impute.2l.pls2_aux.R
R/NMIextract.R
R/pool.mids.nmi.R
R/mice.impute.2lonly.function.R
R/Rfunction_include_argument_values.R
R/micombine.chisquare.R
R/ANSI_matrix_include_rows.R
R/grep.vec.R
R/datalist2mids.R
R/mice_imputation_pls_include_interactions.R
R/mice_imputation_pls_pca_reduction.R
R/prop_miss.R
R/mice_imputation_pls_print_progress3.R
R/ma.wtd.meanNA.R
R/mice_multilevel_imputation_draw_random_effects.R
R/norm.draw2.R
R/mice.impute.2l.plausible.values.R
R/micombine.F.R
R/ma.wtd.covNA.R
R/within.datlist.R
R/mice.impute.2l.eap.R
R/GroupSum.R
R/glm.cluster.R
R/NestedImputationList.R
R/jomo2datlist.R
R/mice_imputation_pls_largest_correlations.R
R/scale_datlist.R
R/within.imputationList.R
R/mice.impute.2l.groupmean.R
R/mice.impute.2l.latentgroupmean.MCMC.R
R/ma.wtd.skewnessNA.R
R/mice.impute.2l.binary.R
R/vector2matrix.R
R/antilogit.R
R/with.mids.1chain.R
R/mice.impute.weighted.pmm.R
R/with.mids.nmi.R
R/load.Rdata2.R
R/mice_imputation_pls_include_quadratics.R
R/NMIwaldtest.R
R/predict.kernelfit.pls2.R
R/mice.impute.eap.R
R/mice_imputation_pls_estimate_pls_regression.R
R/stats0.R
R/GroupMean.R
R/mids2mlwin.R
R/tw.imputation.R
R/mi.anova.R
R/save.data.R
R/pool.nmi.scalar.helper.R
R/mice_multilevel_imputation_blme_args.R
R/MIcombine.NestedImputationResultList.R
R/mice_imputation_multilevel_include_2l_predictors.R
R/var0.R
R/load.Rdata.R
R/Reval.R
R/max0.R
R/covTest.R
R/mids2datlist.R
R/scan0.R
R/source.all.R
R/files_move.R
R/nested.datlist_create.R
R/file_path.R
R/mice_multilevel_doCall_suppressWarnings.R
R/mice_imputation_weighted_norm_draw.R
R/mice_multilevel_draw_rnorm1.R
R/mice_multilevel_create_formula.R
R/mice_multilevel_draw_binomial.R
R/ma.wtd.curtosisNA.R
R/zzz.R
R/mice.nmi.R
R/ANSI_matrix_include_cols.R
R/mice.impute.2l.pls2.R
R/read.fwf2.R
R/ANSI_extend_table.R
R/plausible.value.draw.R
R/crlrem.R
R/mice.impute.bygroup.R
R/cxxfunction.copy.R
R/subset_nested.datlist.R
R/mice.impute.grouped.R
R/with.datlist.R
R/ma.scale2.R
MD5
DESCRIPTION
man
man/sumpreserving.rounding.Rd
man/Rhat.mice.Rd
man/mids2mlwin.Rd
man/data.smallscale.Rd
man/mice.impute.weighted.norm.Rd
man/data.allison.Rd
man/write.datlist.Rd
man/mice.impute.2l.contextual.pmm.Rd
man/data.graham.Rd
man/data.internet.Rd
man/Reval.Rd
man/ma.wtd.statNA.Rd
man/mice.impute.2l.latentgroupmean.ML.Rd
man/mice.impute.eap.Rd
man/write.fwf2.Rd
man/GroupMean.Rd
man/NestedImputationList.Rd
man/load.data.Rd
man/kernelpls.fit2.Rd
man/mice.impute.2l.lmer.Rd
man/mice.nmi.Rd
man/subset_datlist.Rd
man/mice.impute.hotDeck.Rd
man/jomo2datlist.Rd
man/micombine.chisquare.Rd
man/index.dataframe.Rd
man/micombine.cor.Rd
man/stats0.Rd
man/pool.mids.nmi.Rd
man/data.largescale.Rd
man/round2.Rd
man/visitSequence.determine.Rd
man/data.enders.Rd
man/mi_dstat.Rd
man/lm.cluster.Rd
man/source.all.Rd
man/NMIwaldtest.Rd
man/mice.impute.tricube.pmm.Rd
man/mice.impute.pmm3.Rd
man/Rsessinfo.Rd
man/mice.impute.pls.Rd
man/filename_split.Rd
man/miceadds-package.Rd
man/nestedList2List.Rd
man/datlist_create.Rd
man/mice.impute.2lonly.function.Rd
man/with.miceadds.Rd
man/mice.impute.plausible.values.Rd
man/grep.vec.Rd
man/miceadds-defunct.Rd
man/systime.Rd
man/str_C.expand.grid.Rd
man/files_move.Rd
man/mice.1chain.Rd
man/load.Rdata.Rd
man/library_install.Rd
man/write.pspp.Rd
man/mice.impute.bygroup.Rd
man/scale_datlist.Rd
man/complete.miceadds.Rd
man/mi.anova.Rd
man/cxxfunction.copy.Rd
man/pool_mi.Rd
man/write.mice.imputation.Rd
man/draw.pv.ctt.Rd
man/mice.impute.weighted.pmm.Rd
man/tw.imputation.Rd
man/mice.impute.grouped.Rd
man/save.Rdata.Rd
man/save.data.Rd
man/scan.vector.Rd
man/output.format1.Rd
man/ma.scale2.Rd
man/VariableNames2String.Rd
man/mice.impute.2l.contextual.norm.Rd
man/mids2datlist.Rd
man/crlrem.Rd
man/data.ma.Rd
man/micombine.F.Rd
man/pca.covridge.Rd
man/datalist2mids.Rd
miceadds documentation built on May 19, 2017, 7:26 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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