The package implements methods for estimating multivariate
densities: adaptive histograms (greedy histograms and
CART-histograms), stagewise minimization, and bootstrap
aggregation are included in the package.

Estimation of Multivariate Densities Using Adaptive Partitions
Jussi Klemela [aut, cre],
Sauli Herrala [ctb]
c(person("Jussi", "Klemela", role = c("aut", "cre"),
email = "jussi.klemela@gmail.com"),
person("Sauli", "Herrala", role = "ctb"))
We implement methods for estimating multivariate densities.
We include a discretized kernel estimator,
an adaptive histogram (a greedy histogram and a CART-histogram),
stagewise minimization, and bootstrap aggregation.

Identification of dichotomous differential item functioning
(DIF) using Angoff's Delta Plot method
David Magis (U Liege), Bruno Facon (Univ Lille-Nord de France)
The deltaPlot package proposes an implementation of
Angoff's elta Plot method to detect dichotomous DIF. Several
detection thresholds are included, either from multivariate
normality asumption, random simulation, or by prior
determination. Item purification is supported.

The deltaPlotR package proposes an implementation of
Angoff's Delta Plot method to detect dichotomous DIF. Several
detection thresholds are included, either from multivariate
normality assumption or by prior determination. Item
purification is supported.

The deltaPlotR package proposes an implementation of Angoff's Delta Plot method to detect dichotomous DIF. Several detection thresholds are included, either from multivariate normality assumption or by prior determination. Item purification is supported.

Identification of Dichotomous Differential Item Functioning
(DIF) using Angoff's Delta Plot Method
The deltaPlotR package implements Angoff's Delta Plot method to detect dichotomous DIF. Several detection thresholds are included, either from multivariate normality assumption or by prior determination. Item purification is supported (Magis and Facon (2014) <doi:10.18637/jss.v059.c01>).

Quantify Rhythmic Gene Co-Expression Relative to a Reference
c(
person('Jake', 'Hughey', , 'jakejhughey@gmail.com', c('aut', 'cre')),
person('Elliot', 'Outland', , 'ehoutland@gmail.com', 'aut'))
Infer progression of circadian rhythms in transcriptome data in
which samples are not labeled with time of day and coverage of the circadian
cycle may be incomplete. See Shilts et al. (2018) <doi:10.7717/peerj.4327>.
doParallel (>= 1.0.11), knitr, rmarkdown, testthat (>=
3.0.0), vdiffr
Jake Hughey [aut, cre],
Elliot Outland [aut]