Inference for Linear Models with Nuisance Parameters
c(person("Martin", "Lysy",
email = "mlysy@uwaterloo.ca", role = c("aut", "cre")),
person("Bryan", "Yates", role = "aut"))
Efficient Frequentist profiling and Bayesian marginalization of parameters for which the conditional likelihood is that of a multivariate linear regression model.  Arbitrary inter-observation error correlations are supported, with optimized calculations provided for independent-heteroskedastic and stationary dependence structures.
testthat, numDeriv, mniw, knitr, rmarkdown, bookdown,
kableExtra
Martin Lysy [aut, cre],
Bryan Yates [aut]

Fit Latent Markov models in basic versions
Francesco Bartolucci, University of Perugia (IT),
http://www.stat.unipg.it/bartolucci
Fit certain versions of the Latent Markov model for
longitudinal categorical data.

Francesco Bartolucci, Silvia Pandolfi - University of Perugia (IT) -, and Fulvia Pennoni - University of Milano Bicocca
Fit certain versions of the Latent Markov model for longitudinal categorical data.

Latent Markov Models with and without Covariates
Francesco Bartolucci, Silvia Pandolfi - University of Perugia (IT)

R (>= 2.0.0), MASS, MultiLCIRT, stats, mvtnorm, mmm

R (>= 2.0.0), MASS, MultiLCIRT, stats, mvtnorm, mmm, mclust
(>= 5.0)

R (>= 2.0.0), MASS, MultiLCIRT, stats, mvtnorm, mmm, mix

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini
MASS, MultiLCIRT, stats, mvtnorm, mmm, Formula(>= 1.2-3), mix,
utils

MASS, MultiLCIRT, stats, mvtnorm, mmm, Formula(>= 1.2-3), mix,
utils, graphics

MASS, MultiLCIRT, stats, mvtnorm, mmm, Formula(>= 1.2-3), mix,
utils, graphics, diagram(>= 1.6.4), mclust(>= 5.4.6),
scatterplot3d(>= 0.3-41), grDevices(>= 4.0.2)

c(person("Francesco", "Bartolucci", role = c("aut","cre"), email = "bart@stat.unipg.it"),
person("Silvia", "Pandolfi", role = "aut", email = "silvia.pandolfi@unipg.it"),
person("Fulvia", "Pennoni", role = "aut", email = "fulvia.pennoni@unimib.it"),
person("Alessio", "Farcomeni", role="ctb"),person("Alessio", "Serafini", role="ctb"))
MASS, MultiLCIRT, stats, mvtnorm, Formula(>= 1.2-3), mix,
utils, graphics, diagram(>= 1.6.4), mclust(>= 5.4.6),
scatterplot3d(>= 0.3-41), grDevices
Francesco Bartolucci [aut, cre],
Silvia Pandolfi [aut],
Fulvia Pennoni [aut],
Alessio Farcomeni [ctb],
Alessio Serafini [ctb]