Package: gendist
Type: Package
Title: Generated Probability Distribution Models
Version: 1.0
Date: 2015-07-30
Author: Shaiful Anuar Abu Bakar
Maintainer: Shaiful Anuar Abu Bakar <saab@um.edu.my>
Description: Computes the probability density function (pdf), cumulative distribution function (cdf), quantile function (qf) and generates random values (rg) for the following general models : mixture models, composite models, folded models, skewed symmetric models and arc tan models.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-08-01 14:29:57 UTC; Soulful
Repository: CRAN
Date/Publication: 2015-08-01 20:34:37
Package: geneListPie
Type: Package
Title: Profiling a gene list into GOslim or KEGG function pie
Version: 1.0
Date: 2009-10-06
Author: Xutao Deng
Maintainer: Xutao Deng <xutaodeng@gmail.com>
Description: "geneListPie" package is for mapping a gene list to
function categories defined in GOSlim or Kegg. The results can
be plotted as a pie chart to provide a quick view of the genes
distribution of the gene list among the function categories.
The gene list must contain a list of gene symbols. The package
contains a set of pre-processed gene sets obtained from Gene
Ontology and MSigDB including human, mouse, rat and yeast. To
provide a high level concise view, only GO slim and kegg are
provided. The gene sets are regulared updated. User can also
use customized gene sets. User can use the R Pie() or Pie3D()
function for plotting the pie chart. Users can also choose to
output the gene function mapping results and use external
software such as Excel(R) for ploting.
Suggests: plotrix
License: GPL-3
Packaged: 2012-07-23 09:53:29 UTC; ripley
Repository: CRAN
Date/Publication: 2012-07-23 10:35:32
Depends: R (>= 2.10)
Package: geneSLOPE
Type: Package
Title: Genome-Wide Association Study with SLOPE
Version: 0.36.6
Date: 2016-02-02
Authors@R: c(person("Damian", "Brzyski", role = "aut"),
person("Christine", "Peterson", role = "aut"),
person("Malgorzata", "Bogdan", role = "aut"),
person("Chiara", "Sabatti", role = "aut"),
person("Piotr", "Sobczyk", email = "piotr.sobczyk@pwr.edu.pl", role = c("cre", "aut")))
Description: Genome-wide association study (GWAS) performed with SLOPE,
short for Sorted L-One Penalized Estimation, a
method for estimating the vector of coefficients in linear model.
In the first step of GWAS, SNPs are clumped according to their correlations and
distances. Then, SLOPE is performed on data where each clump has
one representative.
License: GPL-3
URL: https://github.com/psobczyk/geneSLOPE
BugReports: https://github.com/psobczyk/geneSLOPE/issues
LazyData: TRUE
Depends: R (>= 3.1.3), SLOPE
Imports: ggplot2, bigmemory, grid, utils, stats
Suggests: shiny, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Repository: CRAN
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-02 09:36:29 UTC; sobczyk
Author: Damian Brzyski [aut],
Christine Peterson [aut],
Malgorzata Bogdan [aut],
Chiara Sabatti [aut],
Piotr Sobczyk [cre, aut]
Maintainer: Piotr Sobczyk <piotr.sobczyk@pwr.edu.pl>
Date/Publication: 2016-02-02 12:34:31
Package: generalCorr
Type: Package
Title: Generalized Correlations and Initial Causal Path
Version: 1.0.2
Date: 2016-04-10
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>
Encoding: UTF-8
Depends: R (>= 3.0.0), np (>= 0.60), xtable (>= 1.8), meboot (>= 1.4), psych (>= 1.5)
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: Asymmetric generalized correlations r*(x|y) measure strength of the
dependence of x on y. If |r*(x|y)|> |r*(y|x)| it suggests that y is more likely
the "kernel cause" of x. There are at least two additional ways of comparing
two kernel regressions helping identify the `cause'.
In simultaneous equation
models where endogeneity of regressors is feared, we can use Prof. Koopmans' method
to ignore endogeneity problems when it kernel causes the dependent variable.
The usual partial correlations can be generalized for the asymmetric matrix of r*'s.
Partial correlations help asses effect of x on y after removing the effect of a
set of variables.
The package provides additional tools for causal assessment,
for printing the causal detections in a clear, comprehensive compact summary form,
for matrix algebra, for outlier detection, and for numerical integration by the
trapezoidal rule, stochastic dominance, etc.
The package has a function for bootstrap-based statistical inference and one
for a heuristic t-test.
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-04 17:04:59 UTC; hd
Repository: CRAN
Date/Publication: 2016-06-04 19:34:56
Package: genetics
Title: Population Genetics
Version: 1.3.8.1
Date: 2012-11-26
Author: Gregory Warnes, with contributions from Gregor Gorjanc,
Friedrich Leisch, and Michael Man.
Maintainer: Gregory Warnes <greg@warnes.net>
Depends: combinat, gdata, gtools, MASS, mvtnorm
Description: Classes and methods for handling genetic data. Includes
classes to represent genotypes and haplotypes at single markers
up to multiple markers on multiple chromosomes. Function
include allele frequencies, flagging homo/heterozygotes,
flagging carriers of certain alleles, estimating and testing
for Hardy-Weinberg disequilibrium, estimating and testing for
linkage disequilibrium, ...
biocViews: Genetics
License: GPL
Packaged: 2013-09-03 10:04:45 UTC; ripley
Repository: CRAN
Date/Publication: 2013-09-03 12:06:28
NeedsCompilation: no
providing 
.