Probit-Normal Marginalized Transition Random Effects Models
Ozgur Asar <oasar@metu.edu.tr>, Ozlem Ilk <oilk@metu.edu.tr>
An R package for Probit-Normal Marginalized Transition
Random Effects Models

Probabilistic neural networks guess a category for a given
individual defined by a vector of numerical values.
'create.R' 'holdout.R' 'kernel.R' 'learn.R' 'optim.R'
'pnn-package.r' 'predict.r' 'skin.R' 'data-norms.R'

The program pnn implements the algorithm proposed by
Specht (1990).  It is written in the R statistical language. It
solves a common problem in automatic learning. Knowing a set of
observations described by a vector of quantitative variables,
we classify them in a given number of groups. Then, the
algorithm is trained with this datasets and should guess
afterwards the group of any new observation. This neural
network has the main advantage to begin generalization
instantaneously even with a small set of known observations. It
is delivered with four functions (learn, smooth, perf and
guess) and a dataset. The functions are documented with
examples and provided with unit tests.
'create.R' 'holdout.R' 'kernel.R' 'learn.R' 'pnn-package.r'
'data-norms.R' 'guess-category.R' 'guess-probabilities.R'
'perf.r' 'guess.r' 'smooth.R' 'what-else.R'

Polytomous variable Latent Class Analysis
Latent class analysis and latent class regression models
for polytomous outcome variables.  Also known as latent structure analysis.
Drew Linzer <dlinzer@ucla.edu> & Jeffrey Lewis <jblewis@ucla.edu>.

Drew Linzer <dlinzer@ucla.edu>, Jeffrey Lewis <jblewis@ucla.edu>.

Drew Linzer <dlinzer@emory.edu>, Jeffrey Lewis <jblewis@ucla.edu>.

Drew Linzer <dlinzer@emory.edu>, Jeffrey Lewis
<jblewis@ucla.edu>.
Latent class analysis and latent class regression models
for polytomous outcome variables.  Also known as latent
structure analysis.

Drew Linzer <drew@votamatic.org>,
Jeffrey Lewis <jblewis@ucla.edu>.

Polytomous Variable Latent Class Analysis

c(person("Frie", "Preu", email = "fr1e@pm.me", role = c("aut", "cre")),
person("Yannik", "Buhl", email = "yannik.buhl@posteo.de", role = "aut"),
person("Max", "Alletsee", email = "max.alletsee@gmail.com", role = "aut"),
person("Dorian", "Le Jeune", email = "D.Le-Jeune@gmx.de", role = "ctb"),
person("Christoph", "Dworschak", email = "c.dworschak@essex.ac.uk", role = "ctb"),
person("Sarah", "Jukna", role = "ctb"),
person("CorrelAid e.V.", role = "cph")
)
Functions that interface with the 'Pocket' API (<https://getpocket.com/developer/>). Allows the user to get, add, and modify items in their own 'Pocket' account.
httr, purrr, tibble, dplyr, glue, jsonlite, magrittr, usethis
testthat, mockery, covr, httptest, knitr, rmarkdown, ggplot2
Frie Preu [aut, cre],
Yannik Buhl [aut],
Max Alletsee [aut],
Dorian Le Jeune [ctb],
Christoph Dworschak [ctb],
Sarah Jukna [ctb],
CorrelAid e.V. [cph]