Package: mcsm
Type: Package
Title: Functions for Monte Carlo Methods with R
Version: 1.0
Date: 2009-02-26
Depends: stats, MASS, coda
Author: Christian P. Robert, Universite Paris Dauphine
Maintainer: Christian P. Robert <xian@ceremade.dauphine.fr>
Description: mcsm contains a collection of functions that allows the
reenactment of the R programs used in the book EnteR Monte
Carlo Methods without further programming. Programs being
available as well, they can be modified by the user to conduct
one's own simulations.
License: GPL (>= 2)
Packaged: 2009-04-28 10:03:21 UTC; hornik
Repository: CRAN
Date/Publication: 2009-04-28 10:10:13
Package: mdscore
Type: Package
Title: Improved Score Tests for Generalized Linear Models
Version: 0.1-2
Date: 2014-10-15
Depends: R (>= 3.1.1), MASS
Suggests: Sleuth3
Authors@R: c(person("Antonio Hermes M.","da Silva-Junior",
email = "hermes@ccet.ufrn.br",
role = c("aut", "cre")),
person("Damiao N.","da Silva",
email = "damiao@ccet.ufrn.br",
role = "aut"),
person("Silvia L. P.", "Ferrari",
email = "silviaferrari.usp@gmail.com",
role = "ctb"))
Author: Antonio Hermes M. da Silva-Junior [aut, cre], Damiao N. da Silva [aut], Silvia L. P. Ferrari [ctb]
Maintainer: Antonio Hermes M. da Silva-Junior <hermes@ccet.ufrn.br>
Description: A set of functions to obtain modified score test for generalized linear models.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2014-10-17 12:28:47 UTC; mlfd58
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-17 17:50:40
Package: memisc
Type: Package
Title: Tools for Management of Survey Data and the Presentation of
Analysis Results
Version: 0.99.6
Date: 2016-02-21
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>
Description: One of the aims of this package is to make life easier for
useRs who deal with survey data sets. It provides an
infrastructure for the management of survey data including
value labels, definable missing values, recoding of variables,
production of code books, and import of (subsets of) SPSS and
Stata files. Further, it provides functionality to produce
tables and data frames of arbitrary descriptive statistics and
(almost) publication-ready tables of regression model
estimates, which can be exported to LaTeX and HTML.
License: GPL-2
LazyLoad: Yes
Depends: R (>= 3.0.0), lattice, stats, methods, utils, MASS
Suggests: splines, knitr
Enhances: AER, car, eha, lme4, ordinal, simex
Imports: grid
VignetteBuilder: knitr
URL:
http://www.elff.eu/software/memisc/,http://github.com/melff/memisc/
BugReports: http://github.com/melff/memisc/issues
NeedsCompilation: yes
Packaged: 2016-02-21 20:42:49 UTC; elff
Repository: CRAN
Date/Publication: 2016-02-22 01:32:31
Package: lba
Title: Latent Budget Analysis for Compositional Data
Version: 1.2
Date: 2015-06-25
Author: Enio G. Jelihovschi <eniojelihovs@gmail.com> and
Ivan Bezerra Allaman <ivanalaman@gmail.com>
Maintainer: Enio G. Jelihovschi <eniojelihovs@gmail.com>
Depends: R (>= 3.1.2), MASS, alabama, plotrix, ca
Description: Latent budget analysis is a method for the analysis of a two-way contingency table with an exploratory variable and a response variable. It is specially designed for compositional data.
Encoding: latin1
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-06-25 23:34:06 UTC; ivan
Repository: CRAN
Date/Publication: 2015-06-27 00:46:51
Package: lctools
Version: 0.2-4
Date: 2015-12-19
Type: Package
Title: Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <skalo@hua.gr>
Depends: R (>= 3.2.1), reshape (>= 0.8.5), weights (>= 0.80), pscl (>=
1.4.9), MASS (>= 7.3-43)
Description: The main purpose of lctools is to provide researchers and educators with easy-to-learn
user friendly tools for calculating key spatial statistics and to apply simple as well as
advanced methods of spatial analysis in real data. These include: Local Pearson and
Geographically Weighted Pearson Correlation Coefficients, Spatial Inequality Measures
(Gini, Spatial Gini, LQ, Focal LQ), Spatial Autocorrelation (Global and Local Moran's I),
several Geographically Weighted Regression techniques and other Spatial Analysis tools
(other geographically weighted statistics). This package also contains functions for
measuring the significance of each statistic calculated, mainly based on Monte Carlo simulations.
License: GPL (>= 2)
VignetteBuilder: knitr
URL: http://gisc.gr
Suggests: knitr, sp
NeedsCompilation: no
Packaged: 2015-12-20 01:59:01 UTC; Stamatis
Repository: CRAN
Date/Publication: 2015-12-20 09:28:10
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
Package: lestat
Type: Package
Title: A package for LEarning STATistics
Version: 1.8
Date: 2013-11-21
Author: Petter Mostad <mostad@chalmers.se>
Maintainer: Petter Mostad <mostad@chalmers.se>
Depends: R (>= 1.8.0), stats, MASS
Description: This package contains some simple objects and functions to do
statistics using linear models and a Bayesian framework.
License: GPL-2
LazyLoad: yes
Packaged: 2013-11-21 19:40:07 UTC; mostad
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-21 21:29:17
providing 
.