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binaryMM  

Flexible Marginalized Models for Binary Correlated Outcomes
View on CRAN: Click here


Download and install binaryMM package within the R console
Install from CRAN:
install.packages("binaryMM")

Install from Github:
library("remotes")
install_github("cran/binaryMM")

Install by package version:
library("remotes")
install_version("binaryMM", "0.1.1")



Attach the package and use:
library("binaryMM")
Maintained by
Chiara Di Gravio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-21
Latest Update: 2022-10-11
Description:
Estimates marginalized mean and dependence model parameters for correlated binary response data. Dependence model may include transition and/or latent variable terms. Methods are described in: Schildcrout and Heagerty (2007) , Heagerty (1999) , Heagerty (2002) .
How to cite:
Chiara Di Gravio (2022). binaryMM: Flexible Marginalized Models for Binary Correlated Outcomes. R package version 0.1.1, https://cran.r-project.org/web/packages/binaryMM
Previous versions and publish date:
0.1.0 (2022-09-21 18:20)
Other packages that cited binaryMM R package
View binaryMM citation profile
Other R packages that binaryMM depends, imports, suggests or enhances
Functions, R codes and Examples using the binaryMM R package
Some associated functions: GenBinaryY . MMLongit . anova.MMLong . datrand . get.GH . madras . mm . 
Some associated R codes: Etai2Deltai.R . GenBinaryY.R . LogLScoreCalc.R . MMLong.R . anova.MMLong.R . coef.MMLong.R . data.R . expit.R . get.GH.R . mm.R . print.MMLong.R . print.anova.MMLong.R . print.summary.MMLong.R . summary.MMLong.R . vcov.MMLong.R .  Full binaryMM package functions and examples
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