Without the need to know the true number of change-points in advance,
this package provides a function for detecting multiple change-points
using  a non-parametric maximum likelihood approach.

person("Lena", "Carel", email = "lena.carel@gmail.com", role = c("aut", "cre"))
Provides a version of the Expectation-Maximization algorithm for
mix-models, reducing the numbers of parameters to estimate using
Non-negative Matrix Factorization methods.
For more explanations, see pre-print of Carel and Alquier (2017) <arXiv:1709.03346>.

plyr, dplyr, d3heatmap, mixtools, tidyr, capushe

Non-Negative Matrix Factorization (NMF) using CUDA
Sven Koitka [aut, cre, cph],
Christoph M. Friedrich [ctb]
Wrapper package for the nmfgpu library, which implements several
Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms.
By using the acceleration of GPGPU computing, the NMF can be used for
real-world problems inside the R environment. All CUDA devices starting with
Kepler architecture are supported by the library.
Rcpp (>= 0.11.4), Matrix, SparseM, stats, stringr, tools,
utils

CUDA >= v7.0, Nvidia GPU (e.g. GeForce or Tesla)
with compute capability >= 3.0 (Kepler)

Goodness of Fit Checks for Binomial N-Mixture Models
person("Jonas", "Knape", email = "jonas.knape@slu.se", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8012-5131"))
Provides residuals and overdispersion metrics to assess the fit of N-mixture models obtained using the package 'unmarked'.
Details on the methods are given in Knape et al. (2017) <doi:10.1101/194340>.

c(
person("Simona","Jokubauskaite", email = "rteam.prog@gmail.com", role=c("aut", "cre")),
person("Reinhard","Hoessinger", role="aut"),
person("Friedrich","Leisch", role="aut"))
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.
Rdpack, AER, mlogit, Hmisc, stats, gsubfn, abind, tidyr, plyr,
dplyr
R (>= 4.0), systemfit, DEoptim, data.table, magrittr, maxLik
Simona Jokubauskaite [aut, cre],
Reinhard Hoessinger [aut],
Friedrich Leisch [aut]