Imports: blme, car, CDM, foreign, graphics, grouped, lme4, MASS,
MCMCglmm, methods, mitools, multiwayvcov, mvtnorm, Rcpp, sirt,

Imports: CDM (>= 5.8-5), graphics, lme4, methods, mitools, mvtnorm,
Rcpp, sirt, stats, TAM (>= 2.5-5), utils
Suggests: Amelia, BIFIEsurvey, blme, car, foreign, grouped, haven, hmi,
Hmisc, inline, jomo, MBESS, MCMCglmm, micemd, mitml,
multiwayvcov, pan, pls, sjlabelled, Zelig

mvtnorm, Rcpp, sirt, stats, TAM (>= 2.5-5), utils

nested multiple imputation (Rubin, 2003,
compatible imputation (Bartlett et al., 2015,
for the generation of synthetic datasets
Imports: graphics, methods, mitools, Rcpp, stats, utils
Suggests: BIFIEsurvey, blme, car, CDM, coda, foreign, grouped, imputeR,
inline, lme4, MASS, MBESS, MCMCglmm, mdmb, numDeriv, readxl,
sandwich, simputation, sirt, sjlabelled, synthpop, TAM
Enhances: Amelia, jomo, micemd, mitml, pan

Suggests: BIFIEsurvey, blme, car, CDM, coda, foreign, inline, lme4,
MASS, MBESS, MCMCglmm, mdmb, numDeriv, readxl, sandwich, sirt,
Enhances: Amelia, imputeR, jomo, micemd, mitml, pan, simputation

MASS, MBESS, MCMCglmm, mdmb, pls, numDeriv, readxl, sandwich,

Imports: CDM, graphics, lme4, methods, mitools, Rcpp, sirt, stats, TAM,
Suggests: BIFIEsurvey, blme, car, coda, foreign, grouped, inline, MASS,
MBESS, MCMCglmm, mdmb, multiwayvcov, numDeriv, readxl,

Suggests: BIFIEsurvey, blme, car, CDM, coda, foreign, grouped, inline,
lme4, MASS, MBESS, MCMCglmm, mdmb, numDeriv, readxl, sandwich,

sandwich, simputation, sirt, sjlabelled, TAM

stringr (>= 1.4.0), car (>= 3.0-10), rlang, magrittr
Suggests: foreign (>= 0.8-80), knitr, rmarkdown, testthat (>= 3.0.0),
Title: Data and Statistical Analyses after Multiple Imputation
person("Martijn", "Heymans", email = "mw.heymans@amsterdamumc.nl", role=c("cre", "aut"),
person("Jaap", "Brand", email = "jaapbrand2651965@gmail.com", role=c("ctb")))
Statistical Analyses and Pooling after Multiple Imputation. A large variety
of repeated statistical analysis can be performed and finally pooled. Statistical analysis
that are available are, among others, Levene's test, Odds and Risk Ratios, One sample
proportions, difference between proportions and linear and logistic regression models.
Functions can also be used in combination with the Pipe operator.
More and more statistical analyses and pooling functions will be added over time.
Author: Martijn Heymans [cre, aut] (<https://orcid.org/0000-0002-3889-0921>),