CRAN/E | misaem

misaem

Linear Regression and Logistic Regression with Missing Covariates

Installation

About

Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) doi:10.1016/j.csda.2019.106907.

Citation misaem citation info
github.com/julierennes/misaem

Key Metrics

Version 1.0.1
R ≥ 3.4.0
Published 2021-04-12 1115 days ago
Needs compilation? no
License GPL-3
CRAN checks misaem results

Downloads

Yesterday 49 0%
Last 7 days 222 -23%
Last 30 days 1.070 -3%
Last 90 days 3.291 -52%
Last 365 days 17.138 +42%

Maintainer

Maintainer

Julie Josse

julie.josserennes@gmail.com

Authors

Wei Jiang

aut

Pavlo Mozharovskyi

ctb

Julie Josse

aut / cre

Imke Mayer

ctb

Material

README
NEWS
Reference manual
Package source

In Views

MissingData

Vignettes

Linear regression and logistic regression with missing covariates

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

misaem archive

Depends

R ≥ 3.4.0

Imports

mvtnorm
stats
MASS
norm
methods

Suggests

knitr
rmarkdown
mice

Reverse Suggests

WeightIt