The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

micsr: Microeconometrics with R

Functions, data sets and examples for the book: Yves Croissant (2025) "Microeconometrics with R", Chapman and Hall/CRC The R Series <doi:10.1201/9781003100263>. The package includes a set of estimators for models used in microeconometrics, especially for count data and limited dependent variables. Test functions include score test, Hausman test, Vuong test, Sargan test and conditional moment test. A small subset of the data set used in the book is also included.

Version: 0.1-2
Depends: R (≥ 4.1.0)
Imports: Formula, Rdpack, sandwich, generics, numDeriv, survival, Rcpp, CompQuadForm
LinkingTo: Rcpp
Suggests: quarto, AER, censReg, sampleSelection, mlogit, MASS, lmtest, tinytest, ggplot2
Published: 2025-06-08
DOI: 10.32614/CRAN.package.micsr
Author: Yves Croissant ORCID iD [aut, cre]
Maintainer: Yves Croissant <yves.croissant at univ-reunion.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: micsr results

Documentation:

Reference manual: micsr.pdf
Vignettes: Estimating the Tobit-1 model with the charitable data set (source, R code)
Endogenous switching or sample selection models for count data (source, R code)
Exponentional conditional mean models with endogeneity (source, R code)
lm function (source, R code)
micsr objects (source, R code)
Implementation of Shi's non-degeranate Vuong test (source, R code)

Downloads:

Package source: micsr_0.1-2.tar.gz
Windows binaries: r-devel: micsr_0.1-2.zip, r-release: micsr_0.1-2.zip, r-oldrel: micsr_0.1-2.zip
macOS binaries: r-release (arm64): micsr_0.1-2.tgz, r-oldrel (arm64): micsr_0.1-2.tgz, r-release (x86_64): micsr_0.1-1.tgz, r-oldrel (x86_64): micsr_0.1-1.tgz
Old sources: micsr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=micsr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.