Package: gamlss.nl
Type: Package
Title: Fitting non linear parametric GAMLSS models
Version: 4.1-0
Date: 2012-02-15
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk> with contributions from
Philippe Lambert.
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
LazyLoad: yes
Depends: R (>= 2.2.1), gamlss, survival
Description: This is an add on package to GAMLSS. It allows one extra
method for fitting GAMLSS models. The main function nlgamlss()
can fit any parametric (up to four parameter) GAMLSS
distribution.
License: GPL-2 | GPL-3
URL: http://www.gamlss.org/
Packaged: 2012-02-15 12:16:14 UTC; stasinom
Repository: CRAN
Date/Publication: 2012-02-15 12:56:58
Package: gamlss.tr
Type: Package
Title: Generating and Fitting Truncated `gamlss.family' Distributions
Version: 4.3-6
Date: 2016-05-18
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
LazyLoad: yes
Depends: R (>= 2.2.1), gamlss.dist, gamlss (>= 4.2-7), methods
Description: This is an add on package to GAMLSS. The purpose of this
package is to allow users to defined truncated distributions in
GAMLSS models. The main function gen.trun() generates truncated
version of an existing GAMLSS family distribution.
License: GPL-2 | GPL-3
URL: http://www.gamlss.org/
NeedsCompilation: no
Packaged: 2016-05-18 10:19:23 UTC; stasinom
Repository: CRAN
Date/Publication: 2016-05-18 13:34:28
Package: BSagri
Title: Statistical methods for safety assessment in agricultural field
trials
Version: 0.1-8
Date: 2013-11-21
Author: Frank Schaarschmidt
Description: Collection of functions, data sets and code examples
for evaluations of field trials with the objective of equivalence assessment.
Maintainer: Frank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>
Depends: gamlss, multcomp, MCPAN
Imports: mvtnorm, boot, mratios
License: GPL-2
Packaged: 2013-11-21 10:22:19 UTC; Schaarschmidt
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-21 11:50:03
Package: gamlss.cens
Type: Package
Title: Fitting an Interval Response Variable Using `gamlss.family'
Distributions
Version: 4.3-5
Date: 2016-05-18
Depends: R (>= 2.2.1), gamlss.dist, gamlss, survival, methods
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>, Nicoleta Mortan
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
Description: This is an add-on package to GAMLSS. The purpose of this
package is to allow users to fit interval response variables in
GAMLSS models. The main function gen.cens() generates a
censored version of an existing GAMLSS family distribution.
License: GPL-2 | GPL-3
URL: http://www.gamlss.org/
NeedsCompilation: no
Packaged: 2016-05-18 10:15:35 UTC; stasinom
Repository: CRAN
Date/Publication: 2016-05-18 13:34:29
Package: acid
Type: Package
Title: Analysing Conditional Income Distributions
Version: 1.1
Date: 2016-02-01
Author: Alexander Sohn
Maintainer: Alexander Sohn <asohn@uni-goettingen.de>
Description: Functions for the analysis of income distributions for subgroups of the population as defined by a set of variables like age, gender, region, etc. This entails a Kolmogorov-Smirnov test for a mixture distribution as well as functions for moments, inequality measures, entropy measures and polarisation measures of income distributions. This package thus aides the analysis of income inequality by offering tools for the exploratory analysis of income distributions at the disaggregated level.
Depends: gamlss, gamlss.dist, Hmisc, stats, graphics, splines
Imports: grDevices, utils, datasets, methods
Suggests: ineq
License: GPL-3
Packaged: 2016-02-01 06:36:11 UTC; admin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-02-01 13:34:52
Package: binequality
Type: Package
Title: Methods for Analyzing Binned Income Data
Version: 0.6.1
Date: 2014-09-14
Author: Samuel V. Scarpino, Paul von Hippel, and Igor Holas
Maintainer: Samuel V. Scarpino <scarpino@utexas.edu>
Description: Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored. We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results. We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.
License: GPL (>= 3.0)
LazyLoad: yes
Depends: R (>= 2.10), gamlss (>= 4.2.7), gamlss.cens (>= 4.2.7), gamlss.dist (>= 4.3.0)
Imports: survival (>= 2.37-7), ineq (>= 0.2-11)
Packaged: 2014-09-14 22:50:02 UTC; scarpino
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-15 07:27:50
providing 
.