Last data update: 2014.03.03

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Results 1 - 10 of 25 found.
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genpathmox : Generalized PATHMOX Algorithm for PLS-PM, LS and LAD Regression

Package: genpathmox
Title: Generalized PATHMOX Algorithm for PLS-PM, LS and LAD Regression
Version: 0.2
Authors@R: "Giuseppe Lamberti <giuseppelamb@hotmail.com> [aut, cre]"
Description: genpathmox provides a very interesting solution for handling
segmentation variables in complex statistical methodology. It contains en
extended version of the PATHMOX algorithm in the context of partial least
square path modeling (Sanchez, 2009) including the F-block test (to detect
the responsible latent endogenous equations of the difference), the
F-coefficient (to detect the path coefficients responsible of the
difference) and the invariance test (to realize a comparison between the
sub-models' latent variables). Furthermore, the package contains a
generalized version of the PATHMOX algorithm to approach different
methodologies: linear regression and least absolute regression models.
Depends: R (>= 3.1.1), plspm, quantreg, mice, diagram, methods
License: GPL-3
LazyData: true
Packaged: 2014-11-27 18:55:38 UTC; giuseppelamberti
Author: "Giuseppe Lamberti" [aut, cre]
Maintainer: "Giuseppe Lamberti" <giuseppelamb@hotmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-27 20:55:35

● Data Source: CranContrib
● 0 images, 61 functions, 2 datasets
● Reverse Depends: 0

lss : the accelerated failure time model to right censored data based on least-squares principle

Package: lss
Type: Package
Title: the accelerated failure time model to right censored data based
on least-squares principle
Version: 0.52
Date: 2006-12-01
Author: Lin Huang <lh2123@columbia.edu>, Zhezhen Jin <zj7@columbia.edu>
Maintainer: Lin Huang <lh2123@columbia.edu>
Description: Due to lack of proper inference procedure and software,
the ordinary linear regression model is seldom used in practice
for the analysis of right censored data. This paper presents an
S-Plus/R program that implements a recently developed inference
procedure (Jin, Lin and Ying, 2006)cite{Jin} for the
accelerated failure time model based on the least-squares
principle.
Depends: R (>= 2.1.0), quantreg
Suggests: survival
License: GPL (>= 2)
Packaged: 2012-10-29 08:59:07 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:59:07

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

mvctm : Multivariate Variance Components Tests for Multilevel Data

Package: mvctm
Type: Package
Title: Multivariate Variance Components Tests for Multilevel Data
Version: 1.0
Date: 2014-05-07
Author: Denis Larocque
Maintainer: Denis Larocque <denis.larocque@hec.ca>
Depends: R (>= 3.1.0), Formula, nlme, MNM, quantreg, Rfit
Description: Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.
License: GPL-2
NeedsCompilation: no
Repository: CRAN
Packaged: 2014-05-16 12:39:24 UTC; clihec3
Date/Publication: 2014-05-16 16:10:39

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

McSpatial : Nonparametric spatial data analysis

Package: McSpatial
Type: Package
Title: Nonparametric spatial data analysis
Version: 2.0
Date: 2013-5-20
Author: Daniel McMillen
Maintainer: Daniel McMillen <mcmillen@illinois.edu>
Description: Locally weighted regression, semiparametric and
conditionally parametric regression, fourier and cubic spline
functions, GMM and linearized spatial logit and probit,
k-density functions and counterfactuals, nonparametric quantile
regression and conditional density functions, Machado-Mata
decomposition for quantile regressions, spatial AR model,
repeat sales models, conditionally parametric logit and probit
License: GPL
LazyLoad: yes
Depends: lattice, locfit, maptools, quantreg, RANN, SparseM
Suggests: car, classInt, mlogit, RColorBrewer, spatstat, spdep
Packaged: 2013-05-26 08:34:40 UTC; Dan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-05-26 11:08:53

● Data Source: CranContrib
● Cran Task View: Spatial
67 images, 45 functions, 1 datasets
● Reverse Depends: 0

EILA : Efficient Inference of Local Ancestry

Package: EILA
Type: Package
Title: Efficient Inference of Local Ancestry
Version: 0.1-2
Date: 2013-09-09
Author: James J. Yang, Jia Li, Anne Buu, and L. Keoki Williams
Maintainer: James J. Yang <jyangstat@gmail.com>
Description: Implementation of Efficient Inference of Local Ancestry
using fused quantile regression and k-means classifier
Depends: R (>= 2.10), class, quantreg
License: GPL (>= 2)
Packaged: 2013-09-13 14:38:38 UTC; jyang
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-09-14 07:48:33

● Data Source: CranContrib
● 0 images, 1 functions, 2 datasets
● Reverse Depends: 0

ForecastCombinations : Forecast Combinations

Package: ForecastCombinations
Type: Package
Title: Forecast Combinations
Version: 1.1
Date: 2015-11-22
Author: Eran Raviv
Maintainer: Eran Raviv <eeraviv@gmail.com>
Description: Aim: Supports the most frequently used methods to combine forecasts. Among others: Simple average, Ordinary Least Squares, Least Absolute Deviation, Constrained Least Squares, Variance-based, Best Individual model, Complete subset regressions and Information-theoretic (information criteria based).
Depends: quantreg, quadprog, utils
Suggests: MASS
License: GPL-2
Packaged: 2015-11-22 18:09:44 UTC; MP-User
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-23 12:20:30

● Data Source: CranContrib
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0

OutlierDC : Outlier Detection using quantile regression for Censored Data

Package: OutlierDC
Title: Outlier Detection using quantile regression for Censored Data
Date: 2014-03-23
Version: 0.3-0
Authors@R: c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"),
email = "eo.sooheang@gmail.com"),
person(given = "Huixia Judy", family = "Wang", role = "ctb"),
person(given = "Lan", family = "Wang", role = "ctb"),
person(given = "HyungJun", family = "Cho", role = "aut",
email = "hj4cho@korea.ac.kr"))
Description: This package provides three algorithms to detect outlying observations for censored survival data.
Depends: R (>= 3.0.0), methods, survival, quantreg, Formula
Maintainer: Soo-Heang Eo <eo.sooheang@gmail.com>
License: GPL-3
Packaged: 2014-03-24 06:22:01 UTC; HJ
Author: Soo-Heang Eo [aut, cre],
Huixia Judy Wang [ctb],
Lan Wang [ctb],
HyungJun Cho [aut]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-24 13:18:13

● Data Source: CranContrib
● Cran Task View: Robust, Survival
● 0 images, 7 functions, 1 datasets
● Reverse Depends: 0

Rfit : Rank Estimation for Linear Models

Package: Rfit
Type: Package
Title: Rank Estimation for Linear Models
Version: 0.22.0
Date: 2015-08-26
Author: John Kloke, Joseph McKean
Maintainer: John Kloke <kloke@biostat.wisc.edu>
Description: R estimation and inference for linear models. Estimation
is for general scores and a library of commonly used score
functions is included.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Depends: methods, quantreg
Suggests: testthat
NeedsCompilation: yes
Packaged: 2015-08-26 17:06:27 UTC; kloke
Repository: CRAN
Date/Publication: 2015-08-26 23:23:18

● Data Source: CranContrib
6 images, 24 functions, 9 datasets
Reverse Depends: 4

RobPer : Robust Periodogram and Periodicity Detection Methods

Package: RobPer
Type: Package
Title: Robust Periodogram and Periodicity Detection Methods
Version: 1.2.2
Date: 2016-03-27
Authors@R: c(person("Anita M.", "Thieler", role = "aut"), person("Jonathan", "Rathjens", role = c("aut", "cre"), email = "jonathan.rathjens@tu-dortmund.de"), person("Roland", "Fried", role = "aut"), person("Brenton R.", "Clarke", role = "ctb", comment = "function betaCvMfit()"), person("Uwe", "Ligges", role = "ctb", comment = "function TK95()"), person("Matias", "Salibian-Barrera", role = "ctb", comment = "functions FastS() and FastTau()"), person("Gert", "Willems", role = "ctb", comment = "function FastTau()"), person("Victor", "Yohai", role = "ctb", comment = "function FastS()"))
Depends: robustbase, quantreg, splines, BB, rgenoud
Description: Calculates periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies, occurring in astroparticle physics). Three main functions are included: RobPer() calculates the periodogram. Outlying periodogram bars (indicating a period) can be detected with betaCvMfit(). Artificial light curves can be generated using the function tsgen(). For more details see the corresponding article: Thieler, Fried and Rathjens (2016), Journal of Statistical Software 69(9), 1-36, <doi:10.18637/jss.v069.i09>.
License: GPL-3
Copyright: The data in star_groj0422.32 have been kindly provided by
the NASA. The data in Mrk421 and Mrk501 have been kindly
provided by the Deutsches Elektronen-Synchrotron. See the
respective documentation.
NeedsCompilation: no
Packaged: 2016-03-27 14:14:07 UTC; jrathjens
Author: Anita M. Thieler [aut],
Jonathan Rathjens [aut, cre],
Roland Fried [aut],
Brenton R. Clarke [ctb] (function betaCvMfit()),
Uwe Ligges [ctb] (function TK95()),
Matias Salibian-Barrera [ctb] (functions FastS() and FastTau()),
Gert Willems [ctb] (function FastTau()),
Victor Yohai [ctb] (function FastS())
Maintainer: Jonathan Rathjens <jonathan.rathjens@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2016-03-27 17:42:26

● Data Source: CranContrib
● Cran Task View: Robust
20 images, 13 functions, 3 datasets
● Reverse Depends: 0

GeoXp : Interactive exploratory spatial data analysis

Package: GeoXp
Type: Package
Title: Interactive exploratory spatial data analysis
Encoding: latin1
Version: 1.6.2
Date: 2013-08-14
Author: Yves Aragon, Thibault Laurent, Lauriane Robidou, Anne
Ruiz-Gazen, Christine Thomas-Agnan
Maintainer: Thibault Laurent <thibault.laurent@univ-tlse1.fr>
Depends: R (>= 2.14.0), quantreg, rgl, spdep
Imports: KernSmooth, rgeos, robustbase, splancs, stats, tcltk
Suggests: maptools, MatrixModels, RANN
Description: GeoXp is a tool for researchers in spatial statistics,
spatial econometrics, geography, ecology etc allowing to link
dynamically statistical plots with elementary maps. This
coupling consists in the fact that the selection of a zone on
the map results in the automatic highlighting of the
corresponding points on the statistical graph or reversely the
selection of a portion of the graph results in the automatic
highlighting of the corresponding points on the map. GeoXp
includes tools from different areas of spatial statistics
including geostatistics as well as spatial econometrics and
point processes. Besides elementary plots like boxplots,
histograms or simple scatterplot, GeoXp also couples with maps
Moran scatterplots, variogram cloud, Lorentz Curves,...In order
to make the most of the multidimensionality of the data, GeoXp
includes some dimension reduction techniques such as PCA.
License: GPL (>= 2)
URL: http://www.jstatsoft.org/v47/i02/paper
Packaged: 2013-08-22 15:38:29 UTC; laurent
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-08-22 20:16:22

● Data Source: CranContrib
● Cran Task View: Spatial
● 0 images, 40 functions, 3 datasets
● Reverse Depends: 0