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missMethods
View on CRAN: Click
here
Download and install missMethods package within the R console
Install from CRAN:
install.packages("missMethods")
Install from Github:
library("remotes")
install_github("cran/missMethods") Install by package version:
library("remotes")
install_version("missMethods", "0.4.0") Attach the package and use:
library("missMethods")
Maintained by
Tobias Rockel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-01
Latest Update: 2022-09-16
Description:
Supply functions for the creation and handling of missing
data as well as tools to evaluate missing data methods. Nearly all
possibilities of generating missing data discussed by Santos et al.
(2019) and some additional are
implemented. Functions are supplied to compare parameter estimates
and imputed values to true values to evaluate missing data methods.
Evaluations of these types are done, for example, by Cetin-Berber et
al. (2019) and Kim et al. (2005)
.
How to cite:
Tobias Rockel (2020). missMethods: Methods for Missing Data. R package version 0.4.0, https://cran.r-project.org/web/packages/missMethods. Accessed 02 Sep. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for missMethods
Functions, R codes and Examples using
the missMethods R package
Some associated functions: apply_imputation . count_NA . delete_MAR_1_to_x . delete_MAR_censoring . delete_MAR_one_group . delete_MAR_rank . delete_MCAR . delete_MNAR_1_to_x . delete_MNAR_censoring . delete_MNAR_one_group . delete_MNAR_rank . evaluate_imputation_parameters . evaluate_imputed_values . evaluate_parameters . impute_EM . impute_LS_adaptive . impute_LS_array . impute_LS_combined . impute_LS_gene . impute_expected_values . impute_hot_deck_in_classes . impute_in_classes . impute_mean . impute_median . impute_mode . impute_sRHD . median.factor .
Some associated R codes: apply_imputation.R . count_NA.R . delete_1_to_x.R . delete_MCAR.R . delete_censoring.R . delete_one_group.R . delete_rank.R . delete_values.R . evaluate_imputation_parameters.R . evaluate_imputed_values.R . evaluate_parameters.R . impute_EM.R . impute_LS_adaptive.R . impute_LS_array.R . impute_LS_combined.R . impute_LS_gene.R . impute_expected_values.R . impute_in_classes.R . impute_location_parameter.R . impute_sRHD.R . median.R . simulate_data.R . utils-delete.R . utils-docu.R . utils-evaluation.R . utils-md-pattern.R . utils.R . zzz.R . Full missMethods package functions and examples
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