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miceafter
View on CRAN: Click
here
Download and install miceafter package within the R console
Install from CRAN:
install.packages("miceafter")
Install from Github:
library("remotes")
install_github("cran/miceafter")
Install by package version:
library("remotes")
install_version("miceafter", "0.5.0")
Attach the package and use:
library("miceafter")
Maintained by
Martijn Heymans
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.miceafter . https://github.com/mwheymans/miceafter/issues . https://mwheymans.github.io/miceafter/ . miceafter results . miceafter.pdf . mice and miceafter for Regression modelling . miceafter_0.5.0.tar.gz . miceafter_0.5.0.zip . miceafter_0.5.0.zip . miceafter_0.5.0.zip . miceafter_0.5.0.tgz . miceafter_0.5.0.tgz . miceafter_0.5.0.tgz . miceafter_0.5.0.tgz . miceafter archive . https://CRAN.R-project.org/package=miceafter .
First Published: 2021-12-16
Latest Update: 2022-10-02
Description:
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.
Heymans (2007) .
Eekhout (2017) .
Wiel (2009) .
Marshall (2009) .
Sidi (2021) .
Lott (2018) .
Grund (2021) .
How to cite:
Martijn Heymans (2021). miceafter: Data and Statistical Analyses after Multiple Imputation. R package version 0.5.0, https://cran.r-project.org/web/packages/miceafter. Accessed 10 May. 2025.
Previous versions and publish date:
0.1.0 (2021-12-16 11:10)
Other packages that cited miceafter R package
View miceafter citation profile
Other R packages that miceafter depends,
imports, suggests or enhances
Complete documentation for miceafter
Functions, R codes and Examples using
the miceafter R package
Some associated functions: bf_test . check_model . cindex . clean_P . cor2fz . cor_est . df2milist . f2chi . fz2cor . glm_lm_bw . glm_lm_fw . glm_lr_bw . glm_lr_fw . glm_mi . invlogit . invlogit_ci . lbp_orig . lbpmicox . lbpmilr . levene_test . list2milist . logit_trans . mids2milist . odds_ratio . pool_D2 . pool_D4 . pool_bftest . pool_cindex . pool_cor . pool_glm . pool_levenetest . pool_odds_ratio . pool_prop_nna . pool_prop_wald . pool_prop_wilson . pool_propdiff_ac . pool_propdiff_nw . pool_propdiff_wald . pool_risk_ratio . pool_scalar_RR . pool_t_test . prop_nna . prop_wald . propdiff_ac . propdiff_wald . risk_ratio . t_test . with.milist .
Some associated R codes: bf_test.R . check_model.R . cindex.R . clean_P.R . cor2fz.R . cor_est.R . df2milist.R . f2chi.R . fz2cor.R . glm_lm_bw.R . glm_lm_fw.R . glm_lr_bw.R . glm_lr_fw.R . glm_mi.R . invlogit.R . invlogit_ci.R . lbp_orig.R . lbpmicox.R . lbpmilr.R . levene_test.R . list2milist.R . logit_trans.R . mids2milist.R . odds_ratio.R . pool_D2.R . pool_D4.R . pool_bftest.R . pool_cindex.R . pool_cor.R . pool_glm.R . pool_levenetest.R . pool_odds_ratio.R . pool_prop_nna.R . pool_prop_wald.R . pool_prop_wilson.R . pool_propdiff_ac.R . pool_propdiff_nw.R . pool_propdiff_wald.R . pool_risk_ratio.R . pool_scalar_RR.R . pool_t_test.R . prop_nna.R . prop_wald.R . propdiff_ac.R . propdiff_wald.R . risk_ratio.R . t_test.R . with.milist.R . Full miceafter package functions and examples
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