Last data update: 2014.03.03

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Results 141 - 150 of 11200 found.
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lda : Collapsed Gibbs Sampling Methods for Topic Models

Package: lda
Type: Package
Title: Collapsed Gibbs Sampling Methods for Topic Models
Version: 1.4.2
Date: 2015-11-22
Author: Jonathan Chang
Maintainer: Jonathan Chang <slycoder@gmail.com>
Description: Implements latent Dirichlet allocation (LDA)
and related models. This includes (but is not limited
to) sLDA, corrLDA, and the mixed-membership stochastic
blockmodel. Inference for all of these models is
implemented via a fast collapsed Gibbs sampler written
in C. Utility functions for reading/writing data
typically used in topic models, as well as tools for
examining posterior distributions are also included.
License: LGPL
LazyLoad: yes
Suggests: Matrix, reshape2, ggplot2 (>= 1.0.0), penalized, nnet
NeedsCompilation: yes
Packaged: 2015-11-22 08:13:39 UTC; jonathanchang
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2015-11-22 11:48:11

● Data Source: CranContrib
● Cran Task View: NaturalLanguageProcessing
● 0 images, 13 functions, 4 datasets
● Reverse Depends: 0

ldamatch : Selection of Statistically Similar Research Groups

Package: ldamatch
Title: Selection of Statistically Similar Research Groups
Version: 1.0.1
Authors@R: c(person("Kyle", "Gorman", email = "kylebgorman@gmail.com", role = c("aut", "cre")), person("Geza", "Kiss", email = "geza.kiss@ohsu.edu", role = "aut"))
Description: Select statistically similar research groups by backward selection using various robust algorithms, including a heuristic based on linear discriminant analysis, multiple heuristics based on the test statistic, and parallelized exhaustive search.
Depends: R (>= 3.0.0)
License: MIT + file LICENSE
LazyData: true
VignetteBuilder: knitr
Suggests: doMC, knitr, testthat
Imports: MASS, RUnit, data.table, entropy, foreach, iterators, iterpc,
kSamples, stats, car, gmp, utils
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-23 10:43:27 UTC; kiss
Author: Kyle Gorman [aut, cre],
Geza Kiss [aut]
Maintainer: Kyle Gorman <kylebgorman@gmail.com>
Repository: CRAN
Date/Publication: 2016-06-27 07:36:57

● Data Source: CranContrib
● 0 images, 22 functions, 0 datasets
● Reverse Depends: 0

ldatuning : Tuning of the LDA Models Parameters

Package: ldatuning
Type: Package
Title: Tuning of the LDA Models Parameters
Description: For this first version only metrics to estimate the best fitting
number of topics are implemented.
Version: 0.1.0
Date: 2015-09-16
Authors@R: person("Murzintcev", "Nikita", email = "nikita@lreis.ac.cn",
role = c("aut", "cre"))
URL: https://github.com/nikita-moor/ldatuning
BugReports: https://github.com/nikita-moor/ldatuning/issues
License: BSD_2_clause + file LICENSE
LazyData: TRUE
Imports: parallel, topicmodels, slam, Rmpfr, ggplot2, reshape2, scales,
grid
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-09-15 17:54:46 UTC; user
Author: Murzintcev Nikita [aut, cre]
Maintainer: Murzintcev Nikita <nikita@lreis.ac.cn>
Repository: CRAN
Date/Publication: 2015-09-16 10:05:25

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

ldbounds : Lan-DeMets Method for Group Sequential Boundaries

Package: ldbounds
Type: Package
Title: Lan-DeMets Method for Group Sequential Boundaries
Version: 1.1-1
Date: 2014-1-18
Author: Charlie Casper and Oscar A. Perez. Based on FORTRAN
program ld98.
Maintainer: Charlie Casper <charlie.casper@hsc.utah.edu>
Imports: lattice
Description: Computations related to group sequential boundaries.
Includes calculation of bounds using the Lan-DeMets
alpha spending function approach.
License: GPL (>= 2)
Packaged: 2014-01-19 07:26:53 UTC; tcasper
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-19 09:07:21

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

ldlasso : LD LASSO Regression for SNP Association Study

Package: ldlasso
Type: Package
Title: LD LASSO Regression for SNP Association Study
Version: 3.2
Date: Jan. 2, 2013
Author: Samuel G. Younkin
Maintainer: Samuel G. Younkin <samuel.younkin@gmail.com>
Description: ldlasso requires data be of class gwaa.data from the the
package GenABEL
License: GPL (>= 2)
Depends: R (>= 2.6.0), GenABEL, quadprog
LazyLoad: yes
Packaged: 2013-01-02 20:20:29 UTC; sgy
Repository: CRAN
Date/Publication: 2013-01-03 08:23:20

● Data Source: CranContrib
● 0 images, 14 functions, 3 datasets
● Reverse Depends: 0

ldr : Methods for likelihood-based dimension reduction in regression

Package: ldr
Type: Package
Title: Methods for likelihood-based dimension reduction in regression
Version: 1.3.3
Depends: R (>= 2.10), GrassmannOptim, Matrix
Date: 2014-06-06
Author: Kofi Placid Adragni, Andrew Raim
Maintainer: Kofi Placid Adragni <kofi@umbc.edu>
Description: Functions, methods, and data sets for fitting likelihood-based dimension reduction in regression, using principal fitted components (pfc), likelihood acquired directions (lad), covariance reducing models (core).
URL: http://www.jstatsoft.org/v61/i03/
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-10-29 13:57:24 UTC; kofi
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-29 16:36:14

● Data Source: CranContrib
● 0 images, 22 functions, 4 datasets
● Reverse Depends: 0

leaderCluster : Leader Clustering Algorithm

Package: leaderCluster
Type: Package
Title: Leader Clustering Algorithm
Version: 1.2
Date: 2014-12-11
Author: Taylor B. Arnold
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>
Description: The leader clustering algorithm provides
a means for clustering a set of data points. Unlike many other clustering
algorithms it does not require the user to specify the number of clusters,
but instead requires the approximate radius of a cluster as its primary
tuning parameter. The package provides a fast implementation of this
algorithm in n-dimensions using Lp-distances (with special cases for p=1,2,
and infinity) as well as for spatial data using the Haversine
formula, which takes latitude/longitude pairs as inputs and clusters
based on great circle distances.
License: LGPL-2
Packaged: 2014-12-15 15:30:02 UTC; taylor
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-16 00:58:11

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

leafletR : Interactive Web-Maps Based on the Leaflet JavaScript Library

Package: leafletR
Type: Package
Title: Interactive Web-Maps Based on the Leaflet JavaScript Library
Version: 0.4-0
Date: 2016-04-01
Author: Christian Graul, with contributions from Francois Guillem
Maintainer: Christian Graul <christian.graul@gmail.com>
Description: Display your spatial data on interactive web-maps using the open-source JavaScript library Leaflet. 'leafletR' provides basic web-mapping functionality to combine vector data and online map tiles from different sources. See <http://leafletjs.com> for more information on Leaflet.
License: GPL (>= 2)
URL: https://github.com/chgrl/leafletR
Depends: R (>= 3.0.0)
Imports: brew, grDevices, jsonlite, methods, utils
Suggests: httr, rgdal, sp
NeedsCompilation: no
Packaged: 2016-03-31 19:45:33 UTC; Christian
Repository: CRAN
Date/Publication: 2016-04-01 16:24:37

● Data Source: CranContrib
● Cran Task View: Spatial, WebTechnologies
● 0 images, 16 functions, 0 datasets
● Reverse Depends: 0

leaflet : Create Interactive Web Maps with the JavaScript 'Leaflet' Library

Package: leaflet
Type: Package
Title: Create Interactive Web Maps with the JavaScript 'Leaflet'
Library
Version: 1.0.1
Date: 2016-02-25
Authors@R: c(
person("Joe", "Cheng", email = "joe@rstudio.com", role = c("aut", "cre")),
person("Yihui", "Xie", role = c("aut")),
person("Hadley", "Wickham", role = c("ctb")),
person("jQuery Foundation and contributors", role = c("ctb", "cph"), comment = "jQuery library"),
person("Vladimir", "Agafonkin", role = c("ctb", "cph"), comment = "Leaflet library"),
person("CloudMade", role = c("cph"), comment = "Leaflet library"),
person("Leaflet contributors", role = c("ctb"), comment = "Leaflet library"),
person("Leaflet Providers contributors", role = c("ctb", "cph"), comment = "Leaflet Providers plugin"),
person("RStudio", role = c("cph"))
)
Maintainer: Joe Cheng <joe@rstudio.com>
Description: Create and customize interactive maps using the 'Leaflet' JavaScript
library and the 'htmlwidgets' package. These maps can be used directly from
the R console, from 'RStudio', in Shiny apps and R Markdown documents.
License: GPL-3 | file LICENSE
URL: http://rstudio.github.io/leaflet/
BugReports: https://github.com/rstudio/leaflet/issues
Imports: base64enc, grDevices, htmlwidgets, htmltools, magrittr,
markdown, methods, png, RColorBrewer, raster, scales (>=
0.2.5), sp, stats, utils
Suggests: knitr, maps, shiny, testit (>= 0.4), rgdal, R6, RJSONIO
NeedsCompilation: no
Packaged: 2016-02-27 00:15:02 UTC; jcheng
Author: Joe Cheng [aut, cre],
Yihui Xie [aut],
Hadley Wickham [ctb],
jQuery Foundation and contributors [ctb, cph] (jQuery library),
Vladimir Agafonkin [ctb, cph] (Leaflet library),
CloudMade [cph] (Leaflet library),
Leaflet contributors [ctb] (Leaflet library),
Leaflet Providers contributors [ctb, cph] (Leaflet Providers plugin),
RStudio [cph]
Repository: CRAN
Date/Publication: 2016-02-27 09:50:10

● Data Source: CranContrib
● 0 images, 21 functions, 0 datasets
Reverse Depends: 1

leapp : latent effect adjustment after primary projection

Package: leapp
Version: 1.2
Date: 2014-07-07
Title: latent effect adjustment after primary projection
Author: Yunting Sun <yunting.sun@gmail.com> , Nancy R.Zhang
<nzhang@stanford.edu>, Art B.Owen <owen@stanford.edu>
Maintainer: Yunting Sun <yunting.sun@gmail.com>
Description: These functions take a gene expression value matrix, a
primary covariate vector, an additional known covariates
matrix. A two stage analysis is applied to counter the effects
of latent variables on the rankings of hypotheses. The
estimation and adjustment of latent effects are proposed by
Sun, Zhang and Owen (2011). "leapp" is developed in the
context of microarray experiments, but may be used as a general
tool for high throughput data sets where dependence may be
involved.
Depends: R (>= 3.1.1), sva, MASS, corpcor
License: GPL (>= 2)
Packaged: 2014-07-13 18:34:14 UTC; ytsun
Repository: CRAN
Date/Publication: 2014-07-22 08:52:54
NeedsCompilation: no

● Data Source: CranContrib
● 0 images, 13 functions, 1 datasets
● Reverse Depends: 0