Halpin_2015_multiple.pdf (973.65 kB)
MICT: multiple imputation for categorical time-series
The MICT package provides a method for multiple imputation for categorical
time-series data such as lifecourse or employment-status histories
that preserves longitudinal consistency, using a monotonic series of imputations.
It allows flexible imputation specifications, with a model appropriate
to the target variable (mlogit, ologit etc.). Where transitions are substantially
less frequent than once per time-unit, and where missingness tends
to be consecutive (as is typical of lifecourse data), it produces imputations
with better longitudinal consistency than mi impute or ice.
History
Publication
Department of Sociology;Working Paper WP2015-02Publisher
Department of Sociology: University of LimerickNote
non-peer-reviewedLanguage
EnglishExternal identifier
Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC