This package contains diverse more or less complicated functions, written to simplify beginners' life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools... All functions are presented in the French book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.

ade4 (>= 1.7-8), boot, car, cramer, FactoMineR, graphics,
grDevices, lme4 (>= 1.0-4), MASS, mixOmics, nnet, pls,
pspearman, stats, utils, vegan (>= 2.4-3)

ade4 (>= 1.7-8), boot, car, FactoMineR, graphics, grDevices,
lme4 (>= 1.0-4), MASS, mixOmics, nnet, pls, pspearman, stats,
utils, vegan (>= 2.4-3)

ape, dgof, emmeans, EMT, FSA, labdsv, mvnormtest, ordinal,
RGCCA, statmod, survival

ape, betareg, dgof, emmeans, EMT, FSA, glmmTMB, labdsv,
MuMIn, mvnormtest, ordinal, RGCCA, statmod, survival

ape, betareg, dgof, emmeans, EMT, FSA, labdsv, MuMIn,
mvnormtest, ordinal, RGCCA, statmod, survival

Fonctions diverses accompagnant l'ouvrage 'Aide-memoire de
statistique appliquee a la biologie'
Ce package contient des fonctions à buts diverses, plus ou
moins complexes, écrites pour simplifier la vie des débutants
en R. Elles sont présentées dans l'ouvrage ''Aide-mémoire de
statistique appliquée à la biologie'' du même auteur,
disponible sur le CRAN.

A framework with tools to compare two random variables, and determine which of them produces lower values. It can compute the Cp and Cd of theoretical of probability distributions, as explained in E. Arza (2021) <https://github.com/EtorArza/RVCompare-paper/releases>. Given the observed samples of two random variables X_A and X_B, it can compute the confidence bands of the cumulative distributions of X'_A and X'_B (see E. Arza (2021) <https://github.com/EtorArza/RVCompare-paper> for details) based on the observed samples of X_A and X_B. Uses bootstrap and DKW-bounds to compute the confidence bands of the cumulative distributions. These two methods are described in B. Efron. (1979) <doi:10.1214/aos/1176344552> and P. Massart (1990) <doi:10.1214/aop/1176990746>.