Historic Pell grant data as provided by the US Department of Education. 
    This package contains data about how much pell grant was awarded by which institution in 
    which year. 
    This data comes from the US Department of Education. Raw data can be downloaded from here: <https://www2.ed.gov/finaid/prof/resources/data/pell-institution.html>.

An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits <doi:10.1002/ajpa.23855>.

Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper
    (2023) <doi:10.31234/osf.io/6phs5>. In meta-analysis, there are
    often between-study differences. These can be coded as moderator variables,
    and controlled for using meta-regression. However, if the number of
    moderators is large relative to the number of studies, such an analysis may
    be overfit. Penalized meta-regression is useful in these cases, because
    it shrinks the regression slopes of irrelevant moderators towards zero.

A system contains easy-to-use tools for the conditional estimation of the prevalence of an emerging or rare infectious diseases using the methods proposed in Guerrier et al. (2023) <arXiv:2012.10745>.

Utility functions for the handling, analysis and visualisation 
    of data from portable emissions measurement systems ('PEMS') and other 
    similar mobile activity monitoring devices. The package includes a dedicated 
    'pems' data class that manages many of the quality control, unit handling 
    and data archiving issues that can hinder efforts to standardise 'PEMS' 
    research.

We aim for fitting a multinomial regression model with Lasso penalty and doing statistical inference (calculating confidence intervals of coefficients and p-values for individual variables). It implements 1) the coordinate descent algorithm to fit an l1-penalized multinomial regression model (parameterized with a reference level); 2) the debiasing approach to obtain the inference results, which is described in Tian et al. (2023) <arXiv:2302.02310>.