nmm: Nonlinear Multivariate Models
Estimates a subset of nonlinear multivariate models (NMM):
system of nonlinear regressions (SNR), logit, and a joint model of SNR and logit.
'nmm' uniquely accounts for correlations between the error terms from nonlinear regressions
and the probabilities from logit models.
It also enables a very flexible design of logit: alternative-specific indirect utilities,
individual-specific choice set and number of actual choices.
| Version: |
0.9 |
| Depends: |
R (≥ 4.0), systemfit, DEoptim, data.table, magrittr, maxLik |
| Imports: |
Rdpack, AER, mlogit, Hmisc, stats, gsubfn, abind, tidyr, plyr, dplyr |
| Suggests: |
knitr, rmarkdown, recipes, Stat2Data |
| Published: |
2021-01-07 |
| Author: |
Simona Jokubauskaite [aut, cre],
Reinhard Hoessinger [aut],
Friedrich Leisch [aut] |
| Maintainer: |
Simona Jokubauskaite <rteam.prog at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
nmm results |
Documentation:
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