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impimp
View on CRAN: Click
here
Download and install impimp package within the R console
Install from CRAN:
install.packages("impimp")
Install from Github:
library("remotes")
install_github("cran/impimp")
Install by package version:
library("remotes")
install_version("impimp", "0.3.1")
Attach the package and use:
library("impimp")
Maintained by
Paul Fink
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-30
Latest Update: 2019-02-03
Description:
Imputing blockwise missing data by imprecise imputation,
featuring a domain-based, variable-wise, and case-wise strategy.
Furthermore, the estimation of lower and upper bounds for
unconditional and conditional probabilities based on the obtained
imprecise data is implemented.
Additionally, two utility functions are supplied: one to check
whether variables in a data set contain set-valued observations;
and another to merge two already imprecisely imputed data.
The method is described in a technical report by Endres, Fink and
Augustin (2018, ).
How to cite:
Paul Fink (2018). impimp: Imprecise Imputation for Statistical Matching. R package version 0.3.1, https://cran.r-project.org/web/packages/impimp
Other packages that cited impimp R package
View impimp citation profile
Other R packages that impimp depends,
imports, suggests or enhances
Functions, R codes and Examples using
the impimp R package
Some associated functions: checkImprecision . generateTupelData . impest . impestcond . impimp . impimp_event . rbindimpimp .
Some associated R codes: generateTupelData.R . imimp_event.R . impreciseEstimation.R . impreciseEstimationConditional.R . impreciseImputation.R . internals.R . rbindimpimp.R . utils.R . zzz.R . Full impimp package functions and examples
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