R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 5 of 5 found.
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minPtest : Gene region-level testing procedure for SNP data, using the min P test resampling approach

Package: minPtest
Type: Package
Title: Gene region-level testing procedure for SNP data, using the min
P test resampling approach
Version: 1.7
Date: 2013-12-17
Depends: scrime, Epi
Suggests: parallel, snowfall
Author: Stefanie Hieke
Maintainer: Stefanie Hieke <hieke@imbi.uni-freiburg.de>
Description: Package minPtest is designed for estimating a gene region-level summary for SNP data from case-control studies using a permutation-based resampling method, called min P test, allowing execution on a compute cluster or multicore computer.
License: GPL (>= 2.14)
LazyLoad: yes
Packaged: 2013-12-19 16:06:05 UTC; hieke
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-19 19:05:00

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

Biograph : Explore Life Histories

Package: Biograph
Type: Package
Title: Explore Life Histories
Version: 2.0.6
Depends: R (>= 3.0.0)
Imports:
mvna,etm,msm,Epi,lubridate,reshape,plyr,survival,mstate,ggplot2,
grDevices,graphics,stats
Date: 2016-03-31
Author: Frans Willekens
Maintainer: Frans Willekens <willekens@nidi.nl>
Description: Transition rates are computed from transitions and exposures.Useful graphics and life-course indicators are computed. The package structures the data for multistate statistical and demographic modeling of life histories.
License: GPL-2
LazyLoad: yes
Packaged: 2016-03-30 21:46:05 UTC; frans
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-31 17:50:43

● Data Source: CranContrib
● Cran Task View: Survival
● 18 images, 57 functions, 4 datasets
● Reverse Depends: 0

flexrsurv : Flexible Relative Survival

Package: flexrsurv
Type: Package
Title: Flexible Relative Survival
Version: 1.3.3
Date: 2016-04-22
Authors@R: c(
person("Isabelle", "Clerc-Urmès", role="aut"),
person("Michel", "Grzebyk", role = c("aut", "cre"), email = "michel.grzebyk@inrs.fr"),
person("Guy", "Hédelin", role="ctb"),
person("CENSUR working survival group", role = "ctb")
)
Author: Isabelle Clerc-Urmès [aut], Michel Grzebyk [aut, cre], Guy Hédelin [ctb], CENSUR working survival group [ctb]
Maintainer: Michel Grzebyk <michel.grzebyk@inrs.fr>
Description: Perform relative survival analyses using approaches described in
Remontet et al. (2007) <DOI:10.1002/sim.2656> and
Mahboubi et al. (2011) <DOI:10.1002/sim.4208>.
It implements non-linear, non-proportional effects and both non proportional and non linear effects
using splines (B-spline and truncated power basis).
License: GPL (>= 2.0)
Depends: methods, splines, survival, stats, matrixcalc, Epi
Suggests: relsurv
Imports: utils, orthogonalsplinebasis
Encoding: latin1
NeedsCompilation: yes
Packaged: 2016-04-25 16:11:06 UTC; michel.grzebyk
Repository: CRAN
Date/Publication: 2016-04-26 19:32:05

● Data Source: CranContrib
● 0 images, 9 functions, 0 datasets
● Reverse Depends: 0

bshazard : Nonparametric Smoothing of the Hazard Function

Package: bshazard
Type: Package
Title: Nonparametric Smoothing of the Hazard Function
Version: 1.0
Date: 2014-02-14
Author: Paola Rebora,Agus Salim, Marie Reilly
Maintainer: Paola Rebora <paola.rebora@unimib.it>
Depends: R (>= 3.0.2), splines, survival, Epi
Description: The function estimates the hazard function non parametrically from a survival object (possibly adjusted for covariates). The smoothed estimate is based on B-splines from the perspective of generalized linear mixed models. Left truncated and right censoring data are allowed.
License: GPL-2
Packaged: 2014-02-17 11:00:14 UTC; Paola R
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-02-17 14:13:17

● Data Source: CranContrib
● Cran Task View: Survival
● 0 images, 6 functions, 0 datasets
● Reverse Depends: 0

parcor : Regularized estimation of partial correlation matrices

Package: parcor
Type: Package
Title: Regularized estimation of partial correlation matrices
Version: 0.2-6
Date: 2014-09-04
Depends: MASS, glmnet, ppls, Epi, GeneNet
Author: Nicole Kraemer, Juliane Schaefer
Maintainer: Nicole Kraemer <kraemer_r_packages@yahoo.de>
Description: The package estimates the matrix of partial correlations
based on different regularized regression methods: lasso,
adaptive lasso, PLS, and Ridge Regression. In addition, the
package provides model selection for lasso, adaptive lasso and
Ridge regression based on cross-validation.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-09-04 08:54:12 UTC; ga29xul
Repository: CRAN
NeedsCompilation: no
Date/Publication: 2014-09-04 13:43:28

● Data Source: CranContrib
● Cran Task View: gR
● 0 images, 11 functions, 0 datasets
● Reverse Depends: 0