Integrative Analysis of Several Related Data Matrices
person("Jonatan", "Kallus", email = "kallus@chalmers.se",
role = c("aut", "cre"))
A generalization of principal component analysis for integrative
analysis. The method finds principal components that describe single matrices
or that are common to several matrices. The solutions are sparse. Rank of
solutions is automatically selected using cross validation. The method is
described in Kallus, Johansson, Nelander and Jörnsten (2019)
<arXiv:1911.04927>.

c(
person(given = "Jonatan", family = "Kallus", role = c("aut")),
person(given = "Felix", family = "Held", email = "felix.held@gmail.com",
role = c("ctb", "cre")))
A generalization of principal component analysis for integrative
analysis. The method finds principal components that describe single matrices
or that are common to several matrices. The solutions are sparse. Rank of
solutions is automatically selected using cross validation. The method is
described in Kallus et al. (2019) <arXiv:1911.04927>.
Jonatan Kallus [aut],
Felix Held [ctb, cre]

Monte-Carlo Methods for Prediction Functions
Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.
person("Zachary", "Jones", email = "zmj@zmjones.com", role = c("aut", "cre"))

testthat, rmarkdown, knitr, randomForest, ggplot2, reshape2

Various Similarity and Distance Metrics for Marked Point
Processes
Hideitsu Hino, Ken Takano, Yuki Yoshikawa, and Noboru Murata
Compute similarities and distances between marked point processes.

Markov Modulated Poisson Process for Unsupervised Event
Detection in Time Series of Counts
R (>= 3.0.2), expm, reshape2, stats, methods
Time-series of count data occur in many different contexts. A
Markov-modulated Poisson process provides a framework for detecting
anomalous events using an unsupervised learning approach.

Steve Condylios [aut, cre, cph] (<https://orcid.org/0000-0003-0599-844X>)
Simple helpers for matrix multiplication on data.frames. These allow for more
concise code during low level mathematical operations, and help ensure code is more
easily read, understood, and serviced.