Provides a flexible framework for estimating the variance-covariance matrix of estimated parameters. Estimation relies on unbiased estimating functions to compute the empirical sandwich variance. (i.e., M-estimation in the vein of Tsiatis et al. (2019) <doi:10.1201/9780429192692>.
| Version: | 0.2.1 | 
| Imports: | stats | 
| Suggests: | knitr, rmarkdown, boot | 
| Published: | 2022-12-21 | 
| DOI: | 10.32614/CRAN.package.Mestim | 
| Author: | François Grolleau | 
| Maintainer: | François Grolleau <francois.grolleau at aphp.fr> | 
| License: | MIT + file LICENCE | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| CRAN checks: | Mestim results | 
| Reference manual: | Mestim.html , Mestim.pdf | 
| Vignettes: | Introduction to Mestim (source, R code) | 
| Package source: | Mestim_0.2.1.tar.gz | 
| Windows binaries: | r-devel: Mestim_0.2.1.zip, r-release: Mestim_0.2.1.zip, r-oldrel: Mestim_0.2.1.zip | 
| macOS binaries: | r-release (arm64): Mestim_0.2.1.tgz, r-oldrel (arm64): Mestim_0.2.1.tgz, r-release (x86_64): Mestim_0.2.1.tgz, r-oldrel (x86_64): Mestim_0.2.1.tgz | 
| Old sources: | Mestim archive | 
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