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.


Reference manual

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0.9 by Simona Jokubauskaite, a year ago

Browse source code at

Authors: Simona Jokubauskaite [aut, cre] , Reinhard Hoessinger [aut] , Friedrich Leisch [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rdpack, AER, mlogit, Hmisc, stats, gsubfn, abind, tidyr, plyr, dplyr

Depends on systemfit, DEoptim, data.table, magrittr, maxLik

Suggests knitr, rmarkdown, recipes, Stat2Data

See at CRAN