Data and code to allow reproduction of "Learning smoothing
models of copy number profiles using breakpoint annotations."
GLAD, DNAcopy, xtable, cghFLasso, flsa, cghseg, grid, gada,
plyr, ggplot2 (>= 0.9.0), RColorBrewer, reshape2, lattice,
proto

Code and data to compare several change-point detection
models on DNA copy number profiles.
GLAD, DNAcopy, cghFLasso, flsa, cghseg, grid, gada, plyr,
ggplot2 (>= 0.9.0), RColorBrewer, reshape2, lattice, proto,
changepoint

c(
person("Joel", "Gombin", email = "joel.gombin@gmail.com", role = c("cre", "aut")),
person("Paul-Antoine", "Chevalier", email = "pachevalier@gmail.com", role = "aut"))
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>.
dplyr (>= 0.7.0), httr, stringr, readr, magrittr, tibble,
purrr, rlang, utils
Joel Gombin [cre, aut],
Paul-Antoine Chevalier [aut]

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

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

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.

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.

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

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

c(person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk",
role = c("aut", "cre", "cph")),
person(c("Benjamin", "D."), "Hall", email = "benjamin.hall.16@ucl.ac.uk",
role = c("aut", "cph")))
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
<https://cran.r-project.org/package=rust> is used
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).
bayesplot (>= 1.1.0), graphics, methods, rust (>= 1.2.2),
stats
ggplot2 (>= 2.2.1), knitr, rmarkdown, testthat
Paul J. Northrop [aut, cre, cph],
Benjamin D. Hall [aut, cph]