The latest version can be installed from GitHub using function install_github from package remotes:
# install.packages('remotes')
remotes::install_github('kkleinke/countimp')| Function Name | model / family |
|---|---|
mice.impute.poisson() |
Poisson |
mice.impute.quasipoisson() |
Quasi-Poisson |
mice.impute.nb() |
negative binomial |
mice.impute.zip() |
zero-inflated Poisson |
mice.impute.zinb() |
zero-inflated negative binomial |
mice.impute.hp() |
hurdle Poisson |
mice.impute.hnb() |
hurdle negative binomial |
mice.impute.2l.poisson() |
two-level Poisson |
mice.impute.2l.nb() |
two-level negative binomial |
mice.impute.2l.zip() |
two-level zero-inflated Poisson |
mice.impute.2l.zinb() |
two-level zero-inflated NB |
mice.impute.2l.hp() |
two-level hurdle Poisson |
mice.impute.2l.hnb() |
two-level hurdle negative binomial |
Kleinke, K., & Reinecke, J. (2013a). Multiple imputation of incomplete zero-inflated count data. Statistica Neerlandica, 67(3), 311–336. doi: 10.1111/stan.12009 http://onlinelibrary.wiley.com/doi/10.1111/stan.12009/abstract
Kleinke, K., & Reinecke, J. (2015a). Multiple imputation of multilevel count data. In U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, and P. Sturgis (Eds.), Improving Survey Methods: Lessons from Recent Research (pp. 381–396). New York: Routledge, Taylor & Francis Group. http://www.psypress.com/books/details/9780415817622/
Kleinke, K., & Reinecke, J. (2015b). Multiple imputation of overdispersed multilevel count data. In: Uwe Engel (Ed.), Survey Measurements. Techniques, Data Quality and Sources of Error (pp. 209–226). Frankfurt a. M.: Campus/The University of Chicago Press. http://press.uchicago.edu/ucp/books/book/distributed/S/bo22196267.html