Computing the Gini-Based Coefficients for Weighted and Negative
Attributes
Gini-based coefficients and plot of the ordinary and generalized curve of maximum inequality in the presence of weighted and negative attributes.

Computing the Gini Coefficient for Weighted and Negative
Attributes
Computation of the Gini coefficient in the presence of weighted and/or negative attributes. Two different approaches are considered in order to fulfill, in the case of negative attributes, the normalization principle, that is a value of the Gini coefficient bounded into the close range [0,1]. The first approach is based on the proposal by Chen, Tsaur and Rhai (1982) and Berebbi and Silber (1985), while the second approach is based on a recent proposal by Raffinetti, Siletti and Vernizzi (2015). The plot of the curve of maximum inequality, defined in the contribution of Raffinetti, Siletti and Vernizzi (2015), is provided.

Constructing panels of population pyramid plots based on lattice
`Giza' offers a simple way of creating multiple pyramid
plots in one graphics window, exploiting the power of the
lattice package. It is a handy way of visualizing longitudinal
grouped (i.e.: age- and education-structured) data.

Variable Selection in Sparse GLARMA Models
M. Gomtsyan, C. Levy-Leduc, S. Ouadah, L. Sansonnet
Performs variable selection in high-dimensional sparse GLARMA models. For further details we refer the reader to the paper Gomtsyan et al. (2020), <arXiv:2007.08623v1>.
R (>= 3.5.0), Matrix, glmnet, stats, ggplot2

Creates Ideal Data for Generalized Linear Models
Have you ever struggled to find "good data" for a generalized linear model? Would you like
to test how quickly statistics converge to parameters, or learn how picking different
link functions affects model performance? This package creates ideal data for both common
and novel generalized linear models so your questions can be empirically answered.
assertthat, stats, purrr, stringr, dplyr, statmod, magrittr,
rlang, ggplot2, MASS

assertthat, stats, purrr, stringr, dplyr, statmod, magrittr,
rlang, ggplot2, MASS, tweedie, cplm