Unified Sequence-Based Association Tests Allowing for Multiple
Functional Annotation Scores
Functions for sequencing studies allowing for multiple functional annotation scores. Score type tests and an efficient perturbation method are used for individual gene/large gene-set/genome wide analysis. Only summary statistics are needed.
R (>= 2.10), CompQuadForm, SKAT, Matrix, MASS, mvtnorm

This package provides functions for selecting attributes
from a given dataset. Attribute subset selection is the process
of identifying and removing as much of the irrevelant and
redundant information as possible.

This package provides functions for selecting attributes
from a given dataset. Attribute subset selection is the process
of identifying and removing as much of the irrelevant and
redundant information as possible.

Functions for selecting attributes from a given dataset. Attribute
subset selection is the process of identifying and removing as much of the
irrelevant and redundant information as possible.

Piotr Romanski, Lars Kotthoff, Patrick Schratz
Functions for selecting attributes from a given
dataset. Attribute subset selection is the process of identifying and
removing as much of the irrelevant and redundant information as
possible.

'Rcpp' Implementation of 'FSelector' Entropy-Based Feature
Selection Algorithms with a Sparse Matrix Support
c(
person("Zygmunt", "Zawadzki", role = c("aut", "cre"), email = "zygmunt@zstat.pl"),
person("Marcin", "Kosinski", role = c("aut"), email = "m.p.kosinski@gmail.com"),
person("Krzysztof", "Slomczynski", role = c("ctb"), email = "krzysztofslomczynski@gmail.com")
)
'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms with a sparse matrix support. It is also equipped with a parallel backend.
testthat, Matrix, RcppArmadillo, dplyr, RWeka, entropy,
FSelector, randomForest, doSNOW, doParallel, rpart, MASS, covr,
parallel, htmltools, magrittr, knitr, RTCGA.rnaseq, ggplot2,
microbenchmark, pbapply, tibble, rmarkdown
Zygmunt Zawadzki [aut, cre],
Marcin Kosinski [aut],
Krzysztof Slomczynski [ctb]