Package: gmnl 1.1-3.3
gmnl: Multinomial Logit Models with Random Parameters
An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) <doi:10.18637/jss.v079.i02>. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.
Authors:
gmnl_1.1-3.3.tar.gz
gmnl_1.1-3.3.zip(r-4.5)gmnl_1.1-3.3.zip(r-4.4)gmnl_1.1-3.3.zip(r-4.3)
gmnl_1.1-3.3.tgz(r-4.4-any)gmnl_1.1-3.3.tgz(r-4.3-any)
gmnl_1.1-3.3.tar.gz(r-4.5-noble)gmnl_1.1-3.3.tar.gz(r-4.4-noble)
gmnl_1.1-3.3.tgz(r-4.4-emscripten)gmnl_1.1-3.3.tgz(r-4.3-emscripten)
gmnl.pdf |gmnl.html✨
gmnl/json (API)
NEWS
| # Install 'gmnl' in R: |
| install.packages('gmnl', repos = c('https://mauricio1986.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mauricio1986/gmnl/issues
Last updated 3 years agofrom:d08ddca3b5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:bread.gmnlcor.gmnlcov.gmnleffect.gmnlestfun.gmnlgetSummary.gmnlgmnlis.gFormulanObs.gmnlse.cov.gmnlwtp.gmnl
Dependencies:clidfidxdigestdplyrexpmfansiFormulagenericsgluelatticelifecyclelmtestmagrittrMASSMatrixmaxLikmiscToolsmlogitmsmmvtnormpillarpkgconfigplotrixR6rbibutilsRdpackrlangsandwichstatmodsurvivaltibbletidyselecttruncnormutf8vctrswithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Akaike's Information Criterion | AIC.gmnl BIC.gmnl |
| Bread for Sandwiches | bread.gmnl |
| Functions for Correlated Random Parameters | cor.gmnl cov.gmnl se.cov.gmnl |
| Get the Conditional Individual Coefficients | effect.gmnl |
| Gradient for Observations | estfun.gmnl |
| Get Model Summaries for Use with "mtable" | getSummary.gmnl |
| Model Formula for Multinomial Logit Models | gFormula is.gFormula model.frame.gFormula model.matrix.gFormula |
| Estimate Multinomial Logit Models with Observed and Unobserved Individual Heterogeneity. | coef.gmnl df.residual.gmnl fitted.gmnl gmnl logLik.gmnl model.matrix.gmnl nObs.gmnl print.gmnl print.summary.gmnl residuals.gmnl summary.gmnl update.gmnl |
| Plot of the Distribution of the Conditional Expectation of Random Parameters | plot.gmnl |
| vcov method for gmnl objects | vcov.gmnl |
| Compute Willingness-to-pay | wtp.gmnl |
