Suggests: GLAD, DNAcopy, xtable, cghFLasso, flsa, cghseg, grid, plyr,
ggplot2 (>= 0.9.0), RColorBrewer, reshape2, lattice, proto

models of copy number profiles using breakpoint annotations."
Suggests: GLAD, DNAcopy, xtable, cghFLasso, flsa, cghseg, grid, gada,
plyr, ggplot2 (>= 0.9.0), RColorBrewer, reshape2, lattice,

Maintainer: Toby Dylan Hocking <toby@sg.cs.titech.ac.jp>
Description: Code and data to compare several change-point detection
Suggests: GLAD, DNAcopy, cghFLasso, flsa, cghseg, grid, gada, plyr,
ggplot2 (>= 0.9.0), RColorBrewer, reshape2, lattice, proto,

person("Joel", "Gombin", email = "joel.gombin@gmail.com", role = c("cre", "aut")),
person("Paul-Antoine", "Chevalier", email = "pachevalier@gmail.com", role = "aut"))
Description: A client for the "Base Adresses Nationale" (BAN) API, which allows to (batch)
geocode and reverse-geocode French addresses. For more information about the BAN and its API, please see <https://adresse.data.gouv.fr/api>.
Imports: dplyr (>= 0.7.0), httr, stringr, readr, magrittr, tibble,

Imports: dplyr (>= 0.7.0), httr, readr, magrittr, tibble, purrr, rlang,

Title: Functions for simple A/B split test and multi-armed bandit
Description: A set of functions (intended to be used by the ruby gem
metricizer) for doing basic analysis of A/B split test data.

metricizer) for doing basic analysis of A/B split test data and

Description: A set of functions (intended to be used by the ruby gem metricizer) for doing basic analysis of A/B split test data and web metrics in general.

Description: A set of functions for doing analysis of A/B split test data and web metrics in general.

Title: Functions for Simple a/B Split Test and Multi-Armed Bandit

Authors@R: c(person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk",
person(c("Benjamin", "D."), "Hall", email = "benjamin.hall.16@ucl.ac.uk",
Description: Provides functions for the Bayesian analysis of some simple
commonly-used models, without using Markov Chain Monte Carlo (MCMC)
methods such as Gibbs sampling.  The 'rust' package
to simulate a random sample from the required posterior distribution.
At the moment three conjugate hierarchical models are available:
beta-binomial, gamma-Poisson and a 1-way analysis of variance (ANOVA).
Imports: bayesplot (>= 1.1.0), graphics, methods, rust (>= 1.2.2),
Suggests: ggplot2 (>= 2.2.1), knitr, rmarkdown, testthat
Author: Paul J. Northrop [aut, cre, cph],