Data sets for the examples used in the package "cudaBayesreg"
FMRI data sets used in the examples of "cudaBayesreg".
Data sets have been separated from the main package
"cudaBayesreg" for convenience.

Reconstruct individual-level values from aggregate-level
summaries.

Tools, Measures and Statistical Tests for Cultural Evolution
person("Kevin Stadler", role=c("aut", "cre"), email="a00425926@unet.univie.ac.at")
Provides tools for measuring the compositionality of signalling systems (in particular the information-theoretic measure due to Spike (2016) <http://hdl.handle.net/1842/25930> and the Mantel test for distance matrix correlation (after Dietz 1983) <doi:10.1093/sysbio/32.1.21>), functions for computing string and meaning distance matrices as well as an implementation of the Page test for monotonicity of ranks (Page 1963) <doi:10.1080/01621459.1963.10500843> with exact p-values up to k = 22.
combinat, grDevices, graphics, Hmisc, pspearman, stats,
stringi, utils

Change point detection in genomic sequences
Estimation of number and location of change points in
mean-shift (piecewise constant) models. Particularly useful to
model genomic sequences of continuous measurements.

Change Point Detection in Genomic Sequences

Estimation of number and location of change points in
mean-shift (piecewise constant) models. Particularly useful (but not confined) to
model genomic sequences of continuous measurements.

person(given = "Yitao",
family = "Li",
role = c("aut", "cre"),
email = "yitao@rstudio.com",
comment = c(ORCID = "0000-0002-1261-905X"))
ellipsis, hardhat, magrittr, parsnip, Rcpp (>= 1.0.6), rlang
(>= 0.1.4)

MASS, mlbench, purrr, reticulate, testthat, xgboost

The purpose of 'cuml4r' is to provide a simple and intuitive R
interface for cuML (<https://github.com/rapidsai/cuml>).
CuML is a suite of GPU-accelerated machine learning libraries powered by
CUDA (<https://en.wikipedia.org/wiki/CUDA>).

Extends ddply to allow calculation of cumulative quantities.
Extends ddply to allow calculation of cumulative
quantities.