Report of Statistical Findings in ‘bookdown’ (rsf)
A report of statistical findings (RSF) project template is generated using a ‘bookdown’ format. ‘YAML’ fields can be further customized. Additional helper functions provide extra features to the RSF.

Data Mining and R Programming for Beginners (fdm2id)
Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French “Fouille de Données en Master 2 Informatique Décisionnelle”.

Sample Size Estimation (sse)
Provides functions to evaluate user-defined power functions for a parameter range, and draws a sensitivity plot. It also provides a resampling procedure for semi-parametric sample size estimation and methods for adding information to a Sweave report.

Optimal Partitioning (opart)
A reference implementation of standard optimal partitioning algorithm in C using square-error loss and Poisson loss functions as described by Robert Maidstone (2016) <doi:10.1007/s11222-016-9636-3>, Toby Hocking (2016) <doi:10.1007/s11222-016-9636-3>, Guillem Rigaill (2016) <doi:10.1007/s11222-016-9636-3>, Paul Fearnhead (2016) <doi:10.1007/s11222-016-9636-3>. It scales quadratically with number of data points in terms of time-complexity.

Gamma and Exponential Generalized Linear Models with Elastic Net Penalty (RPEGLMEN)
Implements the fast iterative shrinkage-thresholding algorithm (FISTA) algorithm to fit a Gamma distribution with an elastic net penalty as described in Chen, Arakvin and Martin (2018) <arxiv:1804.07780>. An implementation for the case of the exponential distribution is also available, with details available in Chen and Martin (2018) <https://…/abstract_id=3085672>.