Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347>.

Analysis, imputation, and multiple imputation of count data using covariates. LORI uses a log-linear Poisson model where main row and column effects, as well as effects of known covariates and interaction terms can be fitted. The estimation procedure is based on the convex optimization of the Poisson loss penalized by a Lasso type penalty and a nuclear norm. LORI returns estimates of main effects, covariate effects and interactions, as well as an imputed count table. The package also contains a multiple imputation procedure. The methods are described in Robin, Josse, Moulines and Sardy (2019) <arXiv:1703.02296v4>.

Functions for simulating missing morphometric
	data randomly, with taxonomic bias and with anatomical bias. LOST also 
	includes functions for estimating linear and geometric morphometric data.

Provides a simple mechanism to specify a symmetric block
    diagonal matrices (often used for covariance matrices).  This is based
    on the domain specific language implemented in 'nlmixr2' but expanded
    to create matrices in R generally instead of specifying parts of
    matrices to estimate.

A collection of functions designed to streamline the retrieval of data from Brazilian lottery games operated by Caixa Econômica Federal, accessible through the official website at <https://loterias.caixa.gov.br/Paginas/default.aspx/>. Datasets for each game are conveniently stored on the GitHub page at <https://github.com/tomasbp2/LotteryBrasilDATA/>. Each game within this repository consists of two primary datasets: the winners dataset and the numbers dataset. The winners dataset includes crucial information such as the draw date, game type, potential matches, winners for each match, and corresponding prize amounts. Meanwhile, the numbers dataset provides essential details including the draw date, game type, and the numbers drawn during the respective lottery event. By offering easy access to these datasets, the package facilitates efficient data retrieval and analysis for researchers, analysts, and enthusiasts interested in exploring the dynamics and outcomes of Brazilian lottery games.