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


Reference manual: nmm.pdf


Package source: nmm_0.9.tar.gz
Windows binaries: r-devel: nmm_0.9.zip, r-release: nmm_0.9.zip, r-oldrel: nmm_0.9.zip
macOS binaries: r-release (arm64): nmm_0.9.tgz, r-release (x86_64): nmm_0.9.tgz, r-oldrel: nmm_0.9.tgz


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