R (>= 3.6.0), foreach, randomForest, doRNG

Computation of the EQL for a given family of variance
functions, Saddlepoint-approximations and related auxiliary
functions (e.g. Hermite polynomials)

Computation of the EQL for a given family of variance
functions, Saddlepoint-approximations and related auxiliary
functions (e.g. Hermite polynomials).

Testing for Equivalence and Noninferiority
Making available in R the complete set of programs accompanying S. Wellek's (2010) monograph
''Testing Statistical Hypotheses of Equivalence and Noninferiority. Second Edition''
(Chapman&Hall/CRC).

c(person("Kristian Hovde", "lialnd", role = c("aut", "cre"),
email = "kristian.liland@nmbu.no"),
person("Ellen Færgestad", "Mosleth", role = "ctb"))
Multivariate modeling of data after deflation of interfering effects (EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>). The effects can be estimates from designed experiments, non-overlapping clusters or continuous effects.
ggplot2, scales, gridExtra, glmnet, pls, plsVarSel, methods
Kristian Hovde lialnd [aut, cre],
Ellen Færgestad Mosleth [ctb]

c(person("Kristian Hovde", "Liland", role = c("aut", "cre"),
email = "kristian.liland@nmbu.no"),
person("Ellen Færgestad", "Mosleth", role = "ctb"))
Kristian Hovde Liland [aut, cre],
Ellen Færgestad Mosleth [ctb]

Multivariate modeling of data after deflation of interfering effects. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.
ggplot2, scales, gridExtra, glmnet, pls, plsVarSel

Significance analysis of Event-Related Potentials data
David Causeur (Agrocampus, Rennes, France) and Ching-Fan Sheu (National Cheng-Kung University, Tainan, Taiwan)
The functions provided in the package ERP are designed for the significance analysis of ERP data in a linear model framework. The possible procedures are either the collection of FDR or FWER controlling methods available in the generic function p.adjust, the same collection combined with a factor modeling of the time dependence among tests (see Sheu, Perthame, Lee and Causeur, 2014) and the Guthrie and Buchwald (1991) test.