Last data update: 2014.03.03

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Results 1 - 7 of 7 found.
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lmmlasso : Linear mixed-effects models with Lasso

Package: lmmlasso
Type: Package
Title: Linear mixed-effects models with Lasso
Version: 0.1-2
Date: 2011-04-13
Author: Juerg Schelldorfer
Maintainer: Juerg Schelldorfer <schell@stat.math.ethz.ch>
Description: This package fits (gaussian) linear mixed-effects models
for high-dimensional data (n<<p) using a Lasso-type approach
for the fixed-effects parameter.
Depends: methods, emulator, miscTools, penalized
License: GPL
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: lmmlasso
Repository/R-Forge/Revision: 5
Date/Publication: 2011-04-15 10:29:50
Packaged: 2011-04-14 20:51:09 UTC; rforge

● Data Source: CranContrib
● 0 images, 7 functions, 1 datasets
● Reverse Depends: 0

multiPIM : Variable Importance Analysis with Population Intervention Models

Package: multiPIM
Version: 1.4-3
Date: 2015-02-24
Title: Variable Importance Analysis with Population Intervention Models
Author: Stephan Ritter <sritter@berkeley.edu>, Alan Hubbard <hubbard@berkeley.edu>, Nicholas Jewell <jewell@berkeley.edu>
Maintainer: Stephan Ritter <stephanritterRpacks@gmail.com>
Depends: lars (>= 0.9-8), penalized, polspline, rpart
Suggests: parallel
LazyLoad: yes
Description: Performs variable importance analysis using a causal inference approach. This is done by fitting Population Intervention Models. The default is to use a Targeted Maximum Likelihood Estimator (TMLE). The other available estimators are Inverse Probability of Censoring Weighted (IPCW), Double-Robust IPCW (DR-IPCW), and Graphical Computation (G-COMP) estimators. Inference can be obtained from the influence curve (plug-in) or by bootstrapping.
License: GPL (>= 2)
URL: http://www.jstatsoft.org/v57/i08/
Packaged: 2015-02-25 04:52:31 UTC; sritter
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-25 08:12:42

● Data Source: CranContrib
● 0 images, 4 functions, 2 datasets
● Reverse Depends: 0

DIFlasso : A penalty approach to Differential Item Functioning in Rasch Models

Package: DIFlasso
Type: Package
Title: A penalty approach to Differential Item Functioning in Rasch
Models
Version: 1.0-1
Date: 2014-01-02
Depends: grplasso, penalized, miscTools
Author: Gunther Schauberger
Maintainer: Gunther Schauberger
<gunther.schauberger@stat.uni-muenchen.de>
Description: A package to perform DIFlasso, a method to detect DIF (Differential Item Functioning) in Rasch Models. It can handle settings with many covariates and also metric covariates.
License: GPL-2
LazyLoad: yes
Packaged: 2014-04-22 12:02:27 UTC; schaubergerg
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-04-22 15:06:33

● Data Source: CranContrib
● Cran Task View: Psychometrics
● 0 images, 8 functions, 0 datasets
● Reverse Depends: 0

DIFtree : Item Focused Trees for the Identification of Items in Differential Item Functioning

Package: DIFtree
Type: Package
Title: Item Focused Trees for the Identification of Items in
Differential Item Functioning
Version: 2.0.2
Date: 2016-04-21
Author: Moritz Berger
Depends: penalized, plotrix
Maintainer: Moritz Berger <moritz.berger@stat.uni-muenchen.de>
Description: Item focused recursive partitioning for simultaneous selection of
items and variables that induce Differential Item Functioning (DIF) based on the
Rasch Model or the Logistic Regression Approach for DIF detection.
License: GPL-2
LazyLoad: yes
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2016-04-21 13:01:45 UTC; bergerm
Repository: CRAN
Date/Publication: 2016-04-22 13:09:47

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

ROC632 : Construction of diagnostic or prognostic scoring system and internal validation of its discriminative capacities based on ROC curve and 0.633+ boostrap resampling.

Package: ROC632
Type: Package
Title: Construction of diagnostic or prognostic scoring system and
internal validation of its discriminative capacities based on
ROC curve and 0.633+ boostrap resampling.
Version: 0.6
Date: 2013-27-12
Author: Y. Foucher <Yohann.Foucher@univ-nantes.fr>
Maintainer: Y. Foucher <Yohann.Foucher@univ-nantes.fr>
Description: This package computes traditional ROC curves and time-dependent ROC curves using the cross-validation, the 0.632 and the 0.632+ estimators. The 0.632+ estimator of time-dependent ROC curve is useful to estimate the predictive accuracy of prognostic signature based on high-dimensional data. For instance, it outperforms the other approaches, especially the cross-validation solution which is often used. The 0.632+ estimators correct the area under the curve in order to adequately estimate the prognostic capacities regardless of the overfitting level. This package also allows for the construction of diagnostic or prognostic scoring systems (penalized regressions). The methodology is adapted to complete data (penalized logistic regression associated with ROC curve) or incomplete time-to-event data (penalized Cox model associated with time-dependent ROC curve).
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.10), splines, survival, penalized, survivalROC
URL: www.r-project.org, www.divat.fr
Packaged: 2013-12-27 20:45:40 UTC; Yohann
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-27 22:22:51

● Data Source: CranContrib
7 images, 6 functions, 1 datasets
● Reverse Depends: 0

subtype : Cluster analysis to find molecular subtypes and their assessment

Package: subtype
Type: Package
Title: Cluster analysis to find molecular subtypes and their assessment
Version: 1.0
Date: 2013-01-14
Author: Andrey Alexeyenko, Woojoo Lee and Yudi Pawitan
Maintainer: Woojoo Lee <lwj221@gmail.com>
Description: subtype performs a biclustering procedure on a input
dataset and assess whether resulting clusters are promising
subtypes. Note that the R-package rsmooth should be installed
before implementing subtype. rsmooth can be downloaded from
http://www.meb.ki.se/~yudpaw.
Depends: penalized, ROCR
License: GPL-2
Packaged: 2013-01-14 10:06:33 UTC; WOOJOO
Repository: CRAN
Date/Publication: 2013-01-14 13:53:58

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

uplift : Uplift Modeling

Package: uplift
Version: 0.3.5
Date: 2014-03-17
Title: Uplift Modeling
Description: An integrated package for building and testing uplift models
Author: Leo Guelman
Maintainer: Leo Guelman <leo.guelman@gmail.com>
License: GPL-2 | GPL-3
Depends: R (>= 3.0.0), RItools, MASS, coin, tables, penalized
Repository: CRAN
Packaged: 2014-03-17 19:21:58 UTC; lguelman
NeedsCompilation: no
Date/Publication: 2014-03-17 21:08:06

● Data Source: CranContrib
● 0 images, 17 functions, 0 datasets
● Reverse Depends: 0