Package: jomo 2.7-4

jomo: Multilevel Joint Modelling Multiple Imputation

Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi:10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.

Authors:Matteo Quartagno, James Carpenter

jomo_2.7-4.tar.gz
jomo_2.7-4.zip(r-4.7-x86_64)jomo_2.7-4.zip(r-4.6-x86_64)jomo_2.7-4.zip(r-4.5-x86_64)
jomo_2.7-4.tgz(r-4.6-x86_64)jomo_2.7-4.tgz(r-4.6-arm64)jomo_2.7-4.tgz(r-4.5-x86_64)jomo_2.7-4.tgz(r-4.5-arm64)
jomo_2.7-4.tar.gz(r-4.7-arm64)jomo_2.7-4.tar.gz(r-4.7-x86_64)jomo_2.7-4.tar.gz(r-4.6-arm64)jomo_2.7-4.tar.gz(r-4.6-x86_64)
jomo_2.7-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
jomo/json (API)

# Install 'jomo' in R:
install.packages('jomo', repos = c('https://matteo21q.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/matteo21q/jomo/issues

Datasets:
  • cldata - A simulated clustered dataset
  • ExamScores - Exam results for six inner London Education Authorities
  • JSPmiss - Exam results for six inner London Education Authorities
  • sldata - A simulated single level dataset
  • surdata - A simulated dataset with survival data
  • tldata - A simulated 2-level dataset

On CRAN:

Conda:

10.04 score 4 stars 196 packages 170 scripts 55k downloads 17 mentions 46 exports 27 dependencies

Last updated from:2c048613d5. Checks:10 OK, 3 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK190
linux-devel-x86_64OK225
source / vignettesOK265
linux-release-arm64OK185
linux-release-x86_64OK226
macos-release-arm64OK156
macos-release-x86_64WARNING266
macos-oldrel-arm64WARNING126
macos-oldrel-x86_64WARNING254
windows-devel-x86_64OK219
windows-release-x86_64OK197
windows-oldrel-x86_64OK200
wasm-releaseOK117

Exports:jomojomo.clmmjomo.clmm.MCMCchainjomo.coxphjomo.coxph.MCMCchainjomo.glmjomo.glm.MCMCchainjomo.glmerjomo.glmer.MCMCchainjomo.lmjomo.lm.MCMCchainjomo.lmerjomo.lmer.MCMCchainjomo.MCMCchainjomo.polrjomo.polr.MCMCchainjomo.smcjomo.smc.MCMCchainjomo1jomo1.MCMCchainjomo1catjomo1cat.MCMCchainjomo1conjomo1con.MCMCchainjomo1mixjomo1mix.MCMCchainjomo1ranjomo1ran.MCMCchainjomo1rancatjomo1rancat.MCMCchainjomo1rancathrjomo1rancathr.MCMCchainjomo1ranconjomo1rancon.MCMCchainjomo1ranconhrjomo1ranconhr.MCMCchainjomo1ranmixjomo1ranmix.MCMCchainjomo1ranmixhrjomo1ranmixhr.MCMCchainjomo2jomo2.MCMCchainjomo2comjomo2com.MCMCchainjomo2hrjomo2hr.MCMCchain

Dependencies:bootcligluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrnumDerivordinalpillarpkgconfigrbibutilsRcppRcppEigenRdpackreformulasrlangsurvivaltibbleucminfutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
A simulated clustered datasetcldata
Exam results for six inner London Education AuthoritiesExamScores
Joint Modelling Imputationjomo
Joint Modelling Imputation Compatible with Cumulative Link Mixed Modeljomo.clmm
clmm Compatible JM Imputation - A tool to check convergence of the MCMCjomo.clmm.MCMCchain
Joint Modelling Imputation Compatible with Cox Proportional Hazards Modeljomo.coxph
coxph Compatible JM Imputation - A tool to check convergence of the MCMCjomo.coxph.MCMCchain
Joint Modelling Imputation Compatible with glm Modeljomo.glm
glm Compatible JM Imputation - A tool to check convergence of the MCMCjomo.glm.MCMCchain
Joint Modelling Imputation Compatible with Generalized Linear Mixed Modeljomo.glmer
glmer Compatible JM Imputation - A tool to check convergence of the MCMCjomo.glmer.MCMCchain
Joint Modelling Imputation Compatible with Linear Regression Modeljomo.lm
lm Compatible JM Imputation - A tool to check convergence of the MCMCjomo.lm.MCMCchain
Joint Modelling Imputation Compatible with Linear Mixed-effects Regression Modeljomo.lmer
lmer Compatible JM Imputation - A tool to check convergence of the MCMCjomo.lmer.MCMCchain
JM Imputation - A tool to check convergence of the MCMCjomo.MCMCchain
Joint Modelling Imputation Compatible with Proportional Odds Ordinal Probit Regressionjomo.polr
polr Compatible JM Imputation - A tool to check convergence of the MCMCjomo.polr.MCMCchain
Joint Modelling Substantive Model Compatible Imputationjomo.smc
Substantive Model Compatible JM Imputation - A tool to check convergence of the MCMCjomo.smc.MCMCchain
JM Imputation of single level datajomo1
JM Imputation of single level data - A tool to check convergence of the MCMCjomo1.MCMCchain
JM Imputation of single level data with categorical variablesjomo1cat
JM Imputation of single level data with categorical variables - A tool to check convergence of the MCMCjomo1cat.MCMCchain
JM Imputation of single level data with continuous variables onlyjomo1con
JM Imputation of single level data with continuous variables only - A tool to check convergence of the MCMCjomo1con.MCMCchain
JM Imputation of single level data with mixed variable typesjomo1mix
JM Imputation of single level data with mixed variable typesjomo1mix.MCMCchain
JM Imputation of clustered datajomo1ran
JM Imputation of clustered data - A tool to check convergence of the MCMCjomo1ran.MCMCchain
JM Imputation of clustered data with categorical variablesjomo1rancat
JM Imputation of clustered data with categorical variables - A tool to check convergence of the MCMCjomo1rancat.MCMCchain
JM Imputation of clustered data with categorical variables with cluster-specific covariance matricesjomo1rancathr
JM Imputation of clustered data with categorical variables with cluster-specific covariance matrices - A tool to check convergence of the MCMCjomo1rancathr.MCMCchain
JM Imputation of clustered data with continuous variables onlyjomo1rancon
JM Imputation of clustered data with continuous variables only - A tool to check convergence of the MCMCjomo1rancon.MCMCchain
JM Imputation of clustered data with continuous variables only with cluster-specific covariance matricesjomo1ranconhr
JM Imputation of clustered data with continuous variables only with cluster-specific covariance matrices - A tool to check convergence of the MCMCjomo1ranconhr.MCMCchain
JM Imputation of clustered data with mixed variable typesjomo1ranmix
JM Imputation of clustered data with mixed variable types - A tool to check convergence of the MCMCjomo1ranmix.MCMCchain
JM Imputation of clustered data with mixed variable types with cluster-specific covariance matricesjomo1ranmixhr
JM Imputation of clustered data with mixed variable types with cluster-specific covariance matrices - A tool to check convergence of the MCMCjomo1ranmixhr.MCMCchain
JM Imputation of 2-level datajomo2
JM Imputation of 2-level data - A tool to check convergence of the MCMCjomo2.MCMCchain
JM Imputation of 2-level data assuming a common level-1 covariance matrix across level-2 units.jomo2com
JM Imputation of 2-level data assuming a common level-1 covariance matrix across level-2 units - A tool to check convergence of the MCMCjomo2com.MCMCchain
JM Imputation of 2-level data assuming cluster-specific level-1 covariance matrices across level-2 unitjomo2hr
JM Imputation of 2-level data assuming cluster-specific level-1 covariance matrices across level-2 units- A tool to check convergence of the MCMCjomo2hr.MCMCchain
Exam results for six inner London Education AuthoritiesJSPmiss
A simulated single level datasetsldata
A simulated dataset with survival datasurdata
A simulated 2-level datasettldata