Packaged: 2020-02-04 02:59:58 UTC; boyangshang

Title: Unified Sequence-Based Association Tests Allowing for Multiple
Description: 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.
Depends: R (>= 2.10), CompQuadForm, SKAT, Matrix, MASS, mvtnorm
Packaged: 2017-06-27 12:07:00 UTC; statzihuai

Description: 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

of identifying and removing as much of the irrelevant and

Imports: randomForest, RWeka, digest, entropy

Description: 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.

Author: Piotr Romanski, Lars Kotthoff, Patrick Schratz
Description: 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
Imports: digest, entropy, randomForest, RWeka

Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature
Selection Algorithms with a Sparse Matrix Support
person("Marcin", "Kosinski", role = c("aut"), email = "m.p.kosinski@gmail.com"),
person("Krzysztof", "Slomczynski", role = c("ctb"), email = "krzysztofslomczynski@gmail.com")
Description: '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.
Imports: Rcpp (>= 0.12.0), foreach, iterators
LinkingTo: Rcpp, BH, RcppArmadillo, testthat
Suggests: testthat, Matrix, RcppArmadillo, dplyr, RWeka, entropy,
FSelector, randomForest, doSNOW, doParallel, rpart, MASS, covr,
parallel, htmltools, magrittr, knitr, RTCGA.rnaseq, ggplot2,