R Graphical Manual

Last data update: 2014.03.03

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CranContrib
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Results 1 - 10 of 202 found.
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mexhaz : Mixed Effect Excess Hazard Models

Package: mexhaz
Type: Package
Title: Mixed Effect Excess Hazard Models
Version: 1.1
Date: 2016-05-10
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>
Description: Fit flexible (excess) hazard regression models with a random effect defined at the cluster level.
Depends: survival
Imports: statmod, MASS
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-05-10 09:14:15 UTC; chadrien
Repository: CRAN
Date/Publication: 2016-05-10 13:25:20

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

mfp : Multivariable Fractional Polynomials

Package: mfp
Title: Multivariable Fractional Polynomials
Version: 1.5.2
Date: 2015-09-03
Author: original by Gareth Ambler <gareth@stats.ucl.ac.uk>, modified by Axel Benner <benner@dkfz.de>
Maintainer: Stephan Luecke <s.luecke@dkfz.de>
Depends: survival
Description: Fractional polynomials are used to represent curvature in regression models. A key reference is Royston and Altman, 1994.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-09-07 10:10:58 UTC; luecke
Repository: CRAN
Date/Publication: 2015-09-09 15:15:56

● Data Source: CranContrib
● Cran Task View: Survival
● 0 images, 4 functions, 2 datasets
● Reverse Depends: 0

lava.tobit : LVM with censored and binary outcomes

Package: lava.tobit
Type: Package
Title: LVM with censored and binary outcomes
Version: 0.4-7
Date: 2012-07-11
Author: Klaus K. Holst
Maintainer: Klaus K. Holst <kkho@biostat.ku.dk>
Description: lava plugin allowing combinations of left and right
censored and binary outcomes
Keywords: probit model, tobit model, structural equation model
Depends: R (>= 2.14), lava (>= 1.1), mvtnorm, survival
License: GPL-3
LazyLoad: yes
Collate: 'binary.R' 'clprobit.R' 'hooks.R' 'onload.R' 'plotres.R'
'rbind.Surv.R' 'tobit.R' 'weighted.R' 'lava.tobit-package.R'
Packaged: 2012-08-16 12:43:14 UTC; nqh369
Repository: CRAN
Date/Publication: 2012-08-16 19:44:26

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

lcmm : Extended Mixed Models Using Latent Classes and Latent Processes

Package: lcmm
Type: Package
Title: Extended Mixed Models Using Latent Classes and Latent Processes
Version: 1.7.5
Date: 2016-03-15
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.
License: GPL (>= 2.0)
Depends: R (>= 2.14.0), survival (>= 2.37-2)
LazyLoad: yes
LazyData: true
NeedsCompilation: yes
Packaged: 2016-03-15 14:31:53 UTC; cecile
Repository: CRAN
Date/Publication: 2016-03-16 18:16:14

● Data Source: CranContrib
● Cran Task View: Cluster
● 0 images, 30 functions, 3 datasets
● Reverse Depends: 0

linERR : Linear Excess Relative Risk Model

Package: linERR
Type: Package
Title: Linear Excess Relative Risk Model
Version: 1.0
Date: 2016-02-23
Encoding: UTF-8
Author: David MoriÃ±a (ISGlobal, Centre for Research in Environmental Epidemiology)
Maintainer: David MoriÃ±a Soler <david.morina@uab.cat>
Description: Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures.
Depends: R (>= 3.1.1), survival, stats4
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-02-23 10:36:30 UTC; dmorinya
Repository: CRAN
Date/Publication: 2016-02-23 13:46:03

● Data Source: CranContrib
● 0 images, 4 functions, 1 datasets
● Reverse Depends: 0

gamlss.nl : Fitting non linear parametric GAMLSS models

Package: gamlss.nl
Type: Package
Title: Fitting non linear parametric GAMLSS models
Version: 4.1-0
Date: 2012-02-15
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk> with contributions from
Philippe Lambert.
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
LazyLoad: yes
Depends: R (>= 2.2.1), gamlss, survival
Description: This is an add on package to GAMLSS. It allows one extra
method for fitting GAMLSS models. The main function nlgamlss()
can fit any parametric (up to four parameter) GAMLSS
distribution.
License: GPL-2 | GPL-3
URL: http://www.gamlss.org/
Packaged: 2012-02-15 12:16:14 UTC; stasinom
Repository: CRAN
Date/Publication: 2012-02-15 12:56:58

● Data Source: CranContrib
● 0 images, 5 functions, 1 datasets
● Reverse Depends: 0

gbm : Generalized Boosted Regression Models

Package: gbm
Version: 2.1.1
Date: 2015-03-10
Title: Generalized Boosted Regression Models
Author: Greg Ridgeway <gregridgeway@gmail.com> with contributions from
others
Maintainer: Harry Southworth <harry.southworth@gmail.com>
Depends: R (>= 2.9.0), survival, lattice, splines, parallel
Suggests: RUnit
Description: An implementation of extensions to Freund and
Schapire's AdaBoost algorithm and Friedman's gradient boosting
machine. Includes regression methods for least squares,
absolute loss, t-distribution loss, quantile regression,
logistic, multinomial logistic, Poisson, Cox proportional
hazards partial likelihood, AdaBoost exponential loss,
Huberized hinge loss, and Learning to Rank measures
(LambdaMart).
License: GPL (>= 2) | file LICENSE
URL: http://code.google.com/p/gradientboostedmodels/
Packaged: 2015-03-11 07:56:18 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-11 09:02:32

● Data Source: CranContrib
● Cran Task View: Survival
● 0 images, 21 functions, 0 datasets
● Reverse Depends: 6

gcerisk : Generalized Competing Event Model

Package: gcerisk
Type: Package
Title: Generalized Competing Event Model
Version: 16.1.3
Date: 2016-04-26
Author: Hanjie Shen <has072@ucsd.edu>, Ruben Carmona
<ruben.carmona13@gmail.com>, Loren Mell <lmell@ucsd.edu>
Maintainer: Hanjie Shen <shenhanjie0418@gmail.com>
Depends: survival, cmprsk, ggplot2,
Imports: stats
Description: Generalized competing event model based on Cox PH model and Fine-Gray model.
This function is designed to develop optimized risk-stratification methods for competing
risks data, such as described in:
1. Carmona R, Gulaya S, Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F,
and Mell LK.(2014) <DOI:10.1016/j.ijrobp.2014.03.047>. Validated competing event model for thestage I-II
endometrial cancer population. Int J Radiat Oncol Biol Phys.89:888-98.
2. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose
BS, Shen H, Vaida F, Murphy JD, and Mell LK.(2016) <DOI:10.1200/JCO.2015.65.0739>. Improved method to stratify
elderly cancer patients at risk for competing events. J Clin Oncol.in press.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-27 18:30:37 UTC; has072
Repository: CRAN
Date/Publication: 2016-04-28 00:52:33

● Data Source: CranContrib
● 0 images, 2 functions, 1 datasets
● Reverse Depends: 0

geneSignatureFinder : A Gene-signatures finder tools

Package: geneSignatureFinder
Type: Package
Title: A Gene-signatures finder tools
Version: 2014.02.17
Date: 2012-08-20
Author: Stefano M. Pagnotta, Michele Ceccarelli
Maintainer: Stefano M. Pagnotta <pagnotta@unisannio.it>
Description: A tool for finding an ensemble gene-signature by a steepest ascending algorithm partially supervised by survival time data.
License: GPL-2
Depends: R (>= 3.0.0), survival, cluster, class, parallel
Suggests:
URL: http://www.bioinformatics.unisannio.it/gsf
BugReports: http://www.bioinformatics.unisannio.it/gsf
Packaged: 2014-03-07 09:41:13 UTC; stefano
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-07 11:58:47

● Data Source: CranContrib
● 0 images, 14 functions, 2 datasets
● Reverse Depends: 0

missDeaths : 'Correctly Analyse Disease Recurrence with Missing at Risk Information using Population Mortality'

Package: missDeaths
Date: 2015-08-08
Title: 'Correctly Analyse Disease Recurrence with Missing at Risk
Information using Population Mortality'
Version: 1.2
Authors@R: c(
person("Tomaz","Stupnik",role=c("aut","cre"), email="tomaz.stupnik@guest.arnes.si"),
person("Maja","Pohar Perme",role="aut", email="maja.pohar@mf.uni-lj.si"))
Maintainer: Tomaz Stupnik <tomaz.stupnik@guest.arnes.si>
Description: Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.1), mitools
LinkingTo: Rcpp
Depends: survival, rms, relsurv, cmprsk
NeedsCompilation: yes
Packaged: 2015-08-08 22:54:55 UTC; tomaz
Author: Tomaz Stupnik [aut, cre],
Maja Pohar Perme [aut]
Repository: CRAN
Date/Publication: 2015-08-09 09:11:39

● Data Source: CranContrib
● 0 images, 5 functions, 1 datasets
● Reverse Depends: 0