Rcpp (>= 1.0-7), partitions, mpoly (>= 1.1.0), magic, digest,
disordR (>= 0.0-8)

Rcpp (>= 0.12.3), partitions, mpoly (>= 1.1.0), magic

Terry M Therneau and Beth Atkinson <atkinson@mayo.edu>.
R port of rpart by Brian Ripley <ripley@stats.ox.ac.uk>.
Also adapts some routines from vegan -- Jari Oksanen <jari.oksanen@oulu.fi>
Adaptations by Glenn De'ath <g.death@aims.gov.au>.

rpart by Terry M Therneau and Beth Atkinson <atkinson@mayo.edu>.
R port of rpart by Brian Ripley <ripley@stats.ox.ac.uk>.
Some routines from vegan -- Jari Oksanen <jari.oksanen@oulu.fi>
Extensions and adaptations of rpart to mvpart by Glenn De'ath <g.death@aims.gov.au>.

rpart by Terry M Therneau and Beth Atkinson
<atkinson@mayo.edu>.  R port of rpart by Brian Ripley
<ripley@stats.ox.ac.uk>.  Some routines from vegan -- Jari
Oksanen <jari.oksanen@oulu.fi> Extensions and adaptations of
rpart to mvpart by Glenn De'ath <g.death@aims.gov.au>.
R (>= 2.14.0), graphics, stats, grDevices

Multivariate Product Distributions for Elliptically Contoured
Distributions
Generates elliptically contoured
multivariate random variables using product
distribution theory.

Estimates multivariate subgaussian stable densities
and probabilities as well as generates random variates using product
distribution theory.  A function for estimating the parameters from
data to fit a distribution to data is also provided, using the
method from Nolan (2013) <DOI:10.1007/s00180-013-0396-7>.
matrixStats, stabledist, libstableR, mvtnorm, stats, cubature,
Matrix

Orthant Probability of the Multivariate Normal Distribution
Computes orthant probabilities multivariate normal distribution.
(C) 2014 National Institute of Advanced Industrial Science
and Technology (AIST)

Compute the Coefficient of Determination for Vector or Matrix
Outcomes
c(
person("Tommy", "Jones", role = c("aut", "cre"), email = "jones.thos.w@gmail.com")
)
Compute the coefficient of determination for outcomes in n-dimensions.
May be useful for multidimensional predictions (such as a multinomial model) or
calculating goodness of fit from latent variable models such as probabilistic
topic models like latent Dirichlet allocation or deterministic topic models
like latent semantic analysis. Based on Jones (2019) <arXiv:1911.11061>.
dplyr, furrr, knitr, MASS, nnet, parallel, rmarkdown, stats,
stringr, testthat, textmineR, tidytext