Last data update: 2014.03.03

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Results 1 - 8 of 8 found.
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lordif : Logistic Ordinal Regression Differential Item Functioning using IRT

Package: lordif
Type: Package
Title: Logistic Ordinal Regression Differential Item Functioning using
IRT
Version: 0.3-3
Date: 2016-03-3
Author: Seung W. Choi, with contributions from Laura E. Gibbons and
Paul K. Crane
Maintainer: Seung W. Choi <choi.phd@gmail.com>
Description: Analysis of Differential Item Functioning (DIF) for
dichotomous and polytomous items using an iterative hybrid of
ordinal logistic regression and item response theory (IRT).
Depends: R (>= 2.7.0), mirt, rms
Imports: stats4
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-03-03 03:58:22 UTC; Seung Choi
Repository: CRAN
Date/Publication: 2016-03-03 05:56:21

● Data Source: CranContrib
● Cran Task View: Psychometrics
● 0 images, 20 functions, 1 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

nonparaeff : Nonparametric Methods for Measuring Efficiency and Productivity

Package: nonparaeff
Version: 0.5-8
Date: 2013-02-22
Title: Nonparametric Methods for Measuring Efficiency and Productivity
Author: Dong-hyun Oh <oh.donghyun77@gmail.com>, with Dukrok Suh
Maintainer: Dong-hyun Oh <oh.donghyun77@gmail.com>
Depends: R (>= 1.8.0), lpSolve, gdata, Hmisc, rms, geometry, psych, pwt
Suggests: gtools
Description: This package contains functions for measuring efficiency
and productivity of decision making units (DMUs) under the
framework of Data Envelopment Analysis (DEA) and its
variations.
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Packaged: 2013-02-22 07:52:17 UTC; arecibo
NeedsCompilation: no
Date/Publication: 2013-02-22 09:38:43

● Data Source: CranContrib
● 0 images, 16 functions, 0 datasets
● Reverse Depends: 0

FeaLect : Scores Features for Feature Selection

Package: FeaLect
Type: Package
Title: Scores Features for Feature Selection
Version: 1.10
Date: 2014-12-03
Author: Habil Zare
Maintainer: Habil Zare <zare@txstate.edu>
Depends: lars, rms
Description: For each feature, a score is computed that can be useful
for feature selection. Several random subsets are sampled from
the input data and for each random subset, various linear
models are fitted using lars method. A score is assigned to
each feature based on the tendency of LASSO in including that
feature in the models.Finally, the average score and the models
are returned as the output. The features with relatively low
scores are recommended to be ignored because they can lead to
overfitting of the model to the training data. Moreover, for
each random subset, the best set of features in terms of global
error is returned. They are useful for applying Bolasso, the
alternative feature selection method that recommends the
intersection of features subsets.
License: GPL (>= 2)
LazyLoad: yes
Repository: CRAN
Date/Publication: 2015-05-13 00:55:14
Packaged: 2015-05-12 17:36:25 UTC; habil
NeedsCompilation: no

● Data Source: CranContrib
40 images, 9 functions, 1 datasets
● Reverse Depends: 0

LCAextend : Latent Class Analysis (LCA) with familial dependence in extended pedigrees

Package: LCAextend
Type: Package
Title: Latent Class Analysis (LCA) with familial dependence in extended
pedigrees
Version: 1.2
Date: 2012-03-15
Author: Arafat TAYEB <arafat.tayeb@ircm.qc.ca>, Alexandre BUREAU
<alexandre.bureau@msp.ulaval.ca> and Aurelie Labbe
<aurelie.labbe@mcgill.ca>
Maintainer: Alexandre BUREAU <alexandre.bureau@msp.ulaval.ca>
Depends: boot, mvtnorm, rms, kinship2
Description: This package performs a Latent Class Analysis of
phenotypic measurements in pedigrees and a model selection
based on one of two methods: likelihood-based cross-validation
and Bayesian Information Criterion. It computes also individual
and triplet child-parents weights in a pedigree using an
upward-downward algorithm. It takes into account the familial
dependence defined by the pedigree structure by considering
that a class of a child depends on his parents classes via
triplet-transition probabilities of the classes. The package
handles the case where measurements are available on all
subjects and the case where measurements are available only on
symptomatic (i.e. affected) subjects. Distributions for
discrete (or ordinal) and continuous data are currently
implemented. The package can deal with missing data.
License: GPL
LazyLoad: yes
URL: http://www.r-project.org
http://www.crulrg.ulaval.ca/pages_perso_chercheurs/bureau_a/
Packaged: 2012-03-17 22:13:00 UTC; bura0001
Repository: CRAN
Date/Publication: 2012-03-18 16:07:12

● Data Source: CranContrib
1 images, 34 functions, 0 datasets
● Reverse Depends: 0

contrast : A collection of contrast methods

Package: contrast
Version: 0.19
Date: 2013-11-15
Title: A collection of contrast methods
Author: Max Kuhn, contributions from Steve Weston, Jed Wing,
James Forester and Thorn Thaler
Maintainer: Max Kuhn <max.kuhn@pfizer.com>
Depends: R (>= 2.2.1), rms
Suggests: lattice, nlme, Hmisc, geepack, MASS, sandwich
Description: Contrast methods, in the style of the Design package,
for fit objects produced by the lm, glm, gls, and geese functions.
License: GPL-2
Packaged: 2013-11-16 02:27:57 UTC; kuhna03
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-16 06:37:04

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

CPE : Concordance Probability Estimates in Survival Analysis

Package: CPE
Title: Concordance Probability Estimates in Survival Analysis
Version: 1.4.4
Depends: R (>= 2.10.0), survival, rms
Author: Qianxing Mo, Mithat Gonen and Glenn Heller
Maintainer: Qianxing Mo <qmo@bcm.edu>
Description: Functions to calculate concordance probability estimates
in survival analysis
LazyData: no
License: GPL (>= 2)
Packaged: 2012-07-07 16:06:44 UTC; quincymo
Repository: CRAN
Date/Publication: 2012-07-07 16:21:46

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

Tsphere : Transposable Sphering for Large-Scale Inference with Correlated Data.

Package: Tsphere
Type: Package
Title: Transposable Sphering for Large-Scale Inference with Correlated
Data.
Version: 1.0
Date: 2011-11-12
Author: Genevera I. Allen
Maintainer: Genevera I. Allen <gallen@rice.edu>
URL: http://www.stat.rice.edu/~gallen/
Description: Adjusts for correlations among the rows and columns via
the Transposable Sphering Algorithm when conducting large-scale
inference on the rows of a data matrix.
License: GPL-2
Depends: glasso, rms
Packaged: 2012-10-29 08:57:46 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:46

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