Suggests: ape, dgof, emmeans, EMT, FSA, labdsv, mvnormtest, ordinal,

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

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

Title: Fonctions diverses accompagnant l'ouvrage 'Aide-memoire de
Depends: ade4, boot, gtools, mgcv, statmod
Description: Ce package contient des fonctions � buts diverses, plus ou
moins complexes, �crites pour simplifier la vie des d�butants
en R. Elles sont pr�sent�es dans l'ouvrage ''Aide-m�moire de
statistique appliqu�e � la biologie'' du m�me auteur,

Title: Compare Real Valued Random Variables
Description: 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>.

Description: A framework with tools to compare two random variables, and determine which of takes produces lower values. See the README.md at <https://github.com/EtorArza/RVCompare> for a quick start guide. It can compute the Cp and Cd of two 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 cumulative difference-plot (see E. Arza (2021) <https://github.com/EtorArza/RVCompare-paper/releases> for details). 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>.