Last data update: 2014.03.03

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Results 1 - 4 of 4 found.
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mlogitBMA : Bayesian Model Averaging for Multinomial Logit Models

Package: mlogitBMA
Type: Package
Title: Bayesian Model Averaging for Multinomial Logit Models
Version: 0.1-6
Date: 2013-12-11
Depends: R (>= 2.9.0), BMA, abind, maxLik
Suggests: mlogit
Author: Hana Sevcikova, Adrian Raftery
Maintainer: Hana Sevcikova <hanas@uw.edu>
Description: Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.
License: GPL (>= 2)
Packaged: 2013-12-11 13:34:44 UTC; hana
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-12-11 14:55:55

● Data Source: CranContrib
● Cran Task View: Bayesian
● 0 images, 9 functions, 1 datasets
● Reverse Depends: 0

clustvarsel : Variable Selection for Model-Based Clustering

Package: clustvarsel
Type: Package
Version: 2.2
Date: 2015-11-19
Title: Variable Selection for Model-Based Clustering
Description: A function which implements variable selection methodology for model-based clustering which allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting MCLUST models. By default the algorithm uses a sequential search, but parallelisation is also available.
Author: Nema Dean, Adrian E. Raftery, and Luca Scrucca
Maintainer: Luca Scrucca <luca@stat.unipg.it>
Depends: R (>= 3.2), mclust (>= 5.1), BMA (>= 3.18), foreach, iterators
Suggests: MASS, parallel, doParallel
License: GPL (>= 2)
Repository: CRAN
ByteCompile: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-11-19 12:29:44 UTC; luca
Date/Publication: 2015-11-19 17:21:28

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

coloc : Colocalisation tests of two genetic traits

Package: coloc
Type: Package
Depends: methods, colorspace, MASS, BMA
Suggests: ggplot2, snpStats
Title: Colocalisation tests of two genetic traits
Version: 2.3-1
Date: 2013-09-26
Authors@R: c(person("Chris", "Wallace", role=c("aut","cre"),
email = "chris.wallace@cimr.cam.ac.uk"),
person("Claudia","Giambartolomei", role="aut",
email="claudia.giambartolomei.10@ucl.ac.uk"),
person("Vincent","Plagnol", role="ctb",
email="v.plagnol@ucl.ac.uk"))
Maintainer: Chris Wallace <chris.wallace@cimr.cam.ac.uk>
Description: Performs the colocalisation tests described in Plagnol et al
(2009), Wallace et al (2013) and Giambartolomei et al (2013).
URL: https://github.com/chr1swallace/coloc
BugReports: https://github.com/chr1swallace/coloc/issues
License: GPL
LazyLoad: yes
Collate: 'AllClasses.R' 'bma.R' 'coloc-package.R' 'coloc.combine.R'
'coloc.test.R' 'pcs.R' 'private.R' 'claudia.R'
Packaged: 2013-09-27 09:09:10 UTC; chrisw
Author: Chris Wallace [aut, cre],
Claudia Giambartolomei [aut],
Vincent Plagnol [ctb]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-09-29 17:23:08

● Data Source: CranContrib
● 0 images, 23 functions, 0 datasets
● Reverse Depends: 0

BCEE : The Bayesian Causal Effect Estimation Algorithm

Package: BCEE
Type: Package
Title: The Bayesian Causal Effect Estimation Algorithm
Version: 1.1
Date: 2015-11-03
Author: Denis Talbot, Geneviève Lefebvre, Juli Atherton.
Maintainer: Denis Talbot <denis.talbot@fmed.ulaval.ca>
Description: Implementation of the Bayesian Causal Effect Estimation algorithm,
a data-driven method for the estimation of the causal effect of an exposure
on a continuous outcome. For more details, see Talbot et al. (2015) DOI:10.1515/jci-2014-0035.
License: GPL (>= 2)
Depends: BMA
Encoding: latin1
NeedsCompilation: no
Packaged: 2015-11-03 13:55:58 UTC; detal9
Repository: CRAN
Date/Publication: 2015-11-04 01:44:13

● Data Source: CranContrib
● 0 images, 3 functions, 0 datasets
● Reverse Depends: 0