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C D F G I J K L M N O P R S T V W misc
| miceadds-package | Some Additional Multiple Imputation Functions, Especially for 'mice' |
| coef.glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| coef.lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| coef.mipo.nmi | Pooling for Nested Multiple Imputation |
| coef.pool_mi | Statistical Inference for Multiply Imputed Datasets |
| complete.mids.1chain | Creates Imputed Dataset from a 'mids.nmi' or 'mids.1chain' Object |
| complete.mids.nmi | Creates Imputed Dataset from a 'mids.nmi' or 'mids.1chain' Object |
| create.designMatrices.waldtest | Wald Test for Nested Multiply Imputed Datasets |
| 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.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 | Datasets from Enders' _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 | Datasets from Grahams _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 (Many Cases, Few Variables) |
| data.ma | Example Datasets for 'miceadds' Package |
| 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.smallscale | Small-Scale Dataset for Testing Purposes (Moderate Number of Cases, Many Variables) |
| datalist2mids | Converting a List of Multiply Imputed Data Sets into a 'mids' Object |
| datlist2mids | Converting a List of Multiply Imputed Data Sets into a 'mids' Object |
| datlist2nested.datlist | Creates Objects of Class 'datlist' or 'nested.datlist' |
| datlist_create | Creates Objects of Class 'datlist' or 'nested.datlist' |
| draw.pv.ctt | Plausible Value Imputation Using a Known Measurement Error Variance (Based on Classical Test Theory) |
| fast.groupmean | Calculation of Groupwise Descriptive Statistics for Matrices |
| fast.groupsum | Calculation of Groupwise Descriptive Statistics for Matrices |
| glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| grep.vec | R Utilities: Vector Based Version of 'grep' |
| index.dataframe | R Utilities: Include an Index to a Data Frame |
| jomo2datlist | Converts a 'jomo' Data Frame in Long Format into a List of Datasets |
| kernelpls.fit2 | Kernel PLS Regression |
| library_install | R Utilities: Loading a Package or Installation of a Package if Necessary |
| List2nestedList | Converting a Nested List into a List (and Vice Versa) |
| lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| load.data | R Utilities: Loading/Reading Data Files using 'miceadds' |
| load.Rdata | R Utilities: Loading 'Rdata' Files in a Convenient Way |
| load.Rdata2 | R Utilities: Loading 'Rdata' Files in a Convenient Way |
| ma.scale2 | Standardization of a Matrix |
| ma.wtd.corNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds' |
| ma.wtd.covNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds' |
| ma.wtd.meanNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds' |
| ma.wtd.sdNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds' |
| ma.wtd.statNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds' |
| mi.anova | Analysis of Variance for Multiply Imputed Data Sets (Using the D_2 Statistic) |
| mice.1chain | Multiple Imputation by Chained Equations using One Chain |
| mice.impute.2l.contextual.norm | Imputation by Normal Linear Regression with Contextual Variables |
| mice.impute.2l.contextual.pmm | Imputation by Predictive Mean Matching with Contextual Variables |
| mice.impute.2l.eap | Imputation of a Variable with a Known Posterior Distribution |
| mice.impute.2l.groupmean | Imputation of Latent and Manifest Group Means for Multilevel Data |
| mice.impute.2l.groupmean.elim | Imputation of Latent and Manifest Group Means for Multilevel Data |
| mice.impute.2l.latentgroupmean.MCMC | Imputation of Latent and Manifest Group Means for Multilevel Data |
| mice.impute.2l.latentgroupmean.ML | Imputation of Latent and Manifest Group Means for Multilevel Data |
| mice.impute.2l.plausible.values | Plausible Value Imputation using Classical Test Theory and Based on Individual Likelihood |
| mice.impute.2l.pls | Imputation using Partial Least Squares for Dimension Reduction |
| mice.impute.2l.pls2 | Imputation using Partial Least Squares for Dimension Reduction |
| mice.impute.2lonly.norm2 | Imputation at Level 2 (in 'miceadds') |
| mice.impute.2lonly.pmm2 | Imputation at Level 2 (in 'miceadds') |
| mice.impute.grouped | Imputation of a Variable with Grouped Values |
| mice.impute.pmm3 | Imputation by Predictive Mean Matching (in 'miceadds') |
| mice.impute.pmm4 | Imputation by Predictive Mean Matching (in 'miceadds') |
| mice.impute.pmm5 | Imputation by Predictive Mean Matching (in 'miceadds') |
| mice.impute.pmm6 | Imputation by Predictive Mean Matching (in 'miceadds') |
| mice.impute.tricube.pmm | Imputation by Tricube Predictive Mean Matching |
| mice.impute.tricube.pmm2 | 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 |
| miceadds | Some Additional Multiple Imputation Functions, Especially for 'mice' |
| micombine.chisquare | Combination of Chi Square Statistics of Multiply Imputed Datasets |
| micombine.cor | Combination of Correlations for Multiply Imputed Data Sets |
| micombine.F | Combination of F Statistics for Multiply Imputed Datasets Using a Chi Square Approximation |
| MIcombine.NestedImputationResultList | Functions for Analysis of Nested Multiply Imputed Datasets |
| mids2datlist | Converting a 'mids', 'mids.1chain' or 'mids.nmi' Object in a Dataset List |
| mids2mlwin | Export 'mids' object to MLwiN |
| MIwaldtest | Wald Test for Nested Multiply Imputed Datasets |
| mi_dstat | Cohen's d Effect Size for Missingness Indicators |
| nested.datlist2datlist | Creates Objects of Class 'datlist' or 'nested.datlist' |
| nested.datlist_create | Creates Objects of Class 'datlist' or 'nested.datlist' |
| NestedImputationList | Functions for Analysis of Nested Multiply Imputed Datasets |
| nestedList2List | Converting a Nested List into a List (and Vice Versa) |
| NMIcombine | Pooling for Nested Multiple Imputation |
| NMIextract | Pooling for Nested Multiple Imputation |
| 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 |
| plot.mids.1chain | Multiple Imputation by Chained Equations using One Chain |
| pool.mids.nmi | Pooling for Nested Multiple Imputation |
| pool_mi | Statistical Inference for Multiply Imputed Datasets |
| pool_nmi | Pooling for Nested Multiple Imputation |
| predict.kernelpls.fit2 | Kernel PLS Regression |
| print.datlist | Creates Objects of Class 'datlist' or 'nested.datlist' |
| print.mids.1chain | Multiple Imputation by Chained Equations using One Chain |
| print.mids.nmi | Nested Multiple Imputation |
| print.nested.datlist | Creates Objects of Class 'datlist' or 'nested.datlist' |
| print.NestedImputationList | Functions for Analysis of Nested Multiply Imputed Datasets |
| read.fwf2 | Reading and Writing Files in Fixed Width Format |
| Reval | R Utilities: Evaluates a String as an Expression in R |
| Revalpr | R Utilities: Evaluates a String as an Expression in R |
| Revalprstr | 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 Datasets or a Single Datasets |
| scan.vec | R Utilities: Scan a Character Vector |
| scan.vector | R Utilities: Scan a Character Vector |
| scan0 | R Utilities: Scan a Character Vector |
| source.all | R Utilities: Source All R Files Within a Directory |
| str_C.expand.grid | R Utilities: String Paste Combined with 'expand.grid' |
| subset.datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset.imputationList | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset.mids | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset.mids.1chain | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset.nested.datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset.NestedImputationList | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset_datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| subset_nested.datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets |
| summary.glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| summary.lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| summary.mids.1chain | Multiple Imputation by Chained Equations using One Chain |
| summary.mids.nmi | Nested Multiple Imputation |
| summary.mipo.nmi | Pooling for Nested Multiple Imputation |
| summary.mira.nmi | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| summary.MIwaldtest | Wald Test for Nested Multiply Imputed Datasets |
| summary.NMIwaldtest | Wald Test for Nested Multiply Imputed Datasets |
| summary.pool_mi | Statistical Inference for Multiply Imputed Datasets |
| sumpreserving.rounding | Sum Preserving Rounding |
| systime | R Utilities: Various Strings Representing System Time |
| tw.imputation | Two-Way Imputation |
| tw.mcmc.imputation | Two-Way Imputation |
| VariableNames2String | Stringing Variable Names with Line Breaks |
| vcov.glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| vcov.lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models |
| vcov.mipo.nmi | Pooling for Nested Multiple Imputation |
| vcov.pool_mi | Statistical Inference for Multiply Imputed Datasets |
| visitSequence.determine | Automatic Determination of a Visit Sequence in 'mice' |
| with.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| with.mids.1chain | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| with.mids.nmi | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| with.nested.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| with.NestedImputationList | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| within.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| within.imputationList | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| within.nested.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| within.NestedImputationList | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| withPool_MI | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| withPool_NMI | Evaluates an Expression for (Nested) Multiply Imputed Datasets |
| 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 |
| 2lonly.norm2 | Imputation at Level 2 (in 'miceadds') |
| 2lonly.pmm2 | Imputation at Level 2 (in 'miceadds') |