Title: Discrete associated kernel estimators
Author: W. E. Wansouwé, C. C. Kokonendji and D. T. Kolyang
Description: Discrete smoothing of probability mass function is performed using three discrete associated kernels: Dirac Discrete Uniform (DiracDU), Binomial and Discrete Triangular. Two automatic bandwidth selection procedures are implemented: the cross-validation method for the three kernels and the local Bayesian approach for Binomial kernel. Note that DiracDU is used for categorical data, Binomial kernel is appropriate for count data with small or moderate sample sizes, and Discrete Triangular kernel is recommended for count data with large sample sizes.

Title: DiscML: An R package for estimating evolutionary rates of
discrete characters using maximum likelihood
Description: DiscML performs rate estimation using maximum likelihood with the
options to correct for unobservable data, to implement a Gamma-distribution
for rate variation, and to estimate the prior root probabilities from the

Description: DiscML performs maximum likelihood estimation with the options
to correct for unobservable data, to implement a Gamma-distribution for rate
variation, and to estimate the prior root probabilities from the empirical

Title: Multiple Testing Procedures with Adaptation for Discrete Tests
Authors@R: c(person("Sebastian", "Döhler", role = "ctb"),person("Guillermo", "Durand", role = c("aut","cre"),email = "guillermo.durand@polytechnique.org"),person("Florian","Junge", role = "aut"),person("Etienne", "Roquain", role = "ctb"))
Description: Multiple testing procedures described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input a set of observed p-values and their discrete support under the null. A function to compute such p-values and supports for Fisher's exact tests is also provided.