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Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random
Parameters
An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>.
| Version: |
0.3-6 |
| Depends: |
R (≥ 4.0), Formula, maxLik |
| Imports: |
sandwich, miscTools, numDeriv, memisc, msm, plm, plotrix, stats, graphics |
| Suggests: |
car, lmtest, pglm, AER |
| Published: |
2023-03-10 |
| Author: |
Mauricio Sarrias 
[aut, cre],
Yves Croissant [ctb],
Achim Zeileis [ctb] |
| Maintainer: |
Mauricio Sarrias <msarrias86 at gmail.com> |
| BugReports: |
https://github.com/mauricio1986/Rchoice/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/mauricio1986/Rchoice |
| NeedsCompilation: |
no |
| Citation: |
Rchoice citation info |
| Materials: |
README NEWS |
| In views: |
Econometrics |
| CRAN checks: |
Rchoice results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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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.
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