Title: Constructing panels of population pyramid plots based on lattice
Description: `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.
Depends: R (>= 2.10.0), reshape, lattice

Title: Variable Selection in Sparse GLARMA Models
Author: M. Gomtsyan, C. Levy-Leduc, S. Ouadah, L. Sansonnet
Description: 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>.
Depends: R (>= 3.5.0), Matrix, glmnet, stats, ggplot2
Suggests: knitr, markdown, formatR, doMC

Title: Creates Ideal Data for Generalized Linear Models
Description: 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.
Imports: assertthat, stats, purrr, stringr, dplyr, statmod, magrittr,

Description: Creates ideal data for all distributions in the generalized
Imports: assertthat, stats, stringr, dplyr, statmod, magrittr, MASS,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr

Title: Global Deviance Permutation Tests
Description: permutation based global test with deviance as test statistic

Title: Bi-Level Optimization of Metabolic Network Models
Description: Initial metabolic networks often inaccurately predict in-silico growth or non-growth if compared to in-vivo data. This package refines metabolic network models by making networks changes (i.e., removing, adding, changing reversibility of reactions; adding and removing biomass metabolites) and simultaneously matching sets of experimental growth and non-growth data (e.g., KO-mutants, mutants grown under different media conditions,...)