Fit High Dimensional Mixtures of Poisson GLMs
Mixtures of Poisson Generalized Linear Models for high dimensional count data clustering. The (multivariate) responses can be partitioned into set of blocks. Three different parameterizations of the linear predictor are considered. The models are estimated according to the EM algorithm with an efficient initialization scheme <doi:10.1016/j.csda.2014.07.005>.

Robust M-Estimators Based on Transformations for Poisson Model
Claudio Agostinelli <claudio.agostinelli@unitn.it>, Marina Valdora <mvaldora@gmail.com> and Victor J. Yohai <victoryohai@gmail.com>
R functions for the computation of Least Square based on transformation (L2T) and robust M-estimators based on transformations (MT-estimators) for Poisson regression models.

c(
person(given = "Max",
family = "Kuhn",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-2402-136X"),
email = "max@rstudio.com"),
person("RStudio", role = "cph"))
Bindings for Poisson regression models for use with the
'parsnip' package. Models include simple generalized linear models,
Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber, and
Jackman (2008) <doi:10.18637/jss.v027.i08>).
rlang, tibble, purrr, stats, dplyr, tidyr, glue

Bindings for Poisson regression models for use with the
'parsnip' package. Models include simple generalized linear models,
Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber,
and Jackman (2008) <doi:10.18637/jss.v027.i08>).
dplyr, generics, glue, purrr, rlang, stats, tibble, tidyr

covr, pscl, spelling, testthat (>= 3.0.0)

Type testRoundOfPoker() to demonstrate the game of Texas Hold ‘Em poker.  Rotate the dealer button, deal cards, rank each hand, compare ranks, break ties (if necessary), determine the winner, output a textual summary, and output a graphical user interface.

person(given = "Juan Pablo",
family = "Ruiz Nicolini",
role = c("aut", "cre", "cph"),
email = "juanpabloruiznicolini@gmail.com",
comment = c(ORCID = "0000-0002-3138-6343"))
Toolbox for the Analysis of Political and Electoral Data from Argentina.
geofacet, dplyr, tidyr (>= 1.0.0), magrittr, formattable,
readr, stringr, rvest, xml2, glue, tibble, DT, attempt, curl
(>= 4.2), assertthat, gt, forcats, ggplot2, ggthemes, purrr,
scales, rlang (>= 0.4.3), RColorBrewer, grDevices
Juan Pablo Ruiz Nicolini [aut, cre, cph]
(<https://orcid.org/0000-0002-3138-6343>)
Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>