Last data update: 2014.03.03

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Results 1 - 10 of 12 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

logistf : Firth's bias reduced logistic regression

Package: logistf
Type: Package
Title: Firth's bias reduced logistic regression
Version: 1.21
Date: 2013-06-26
Author: Georg Heinze <georg.heinze@meduniwien.ac.at>, Meinhard Ploner,
Daniela Dunkler (former versions), Harry Southworth (former
versions)
Maintainer: Georg Heinze <georg.heinze@meduniwien.ac.at>
Depends: R (>= 3.0.0), mice, mgcv
Description: Firth's bias reduced logistic regression approach with
penalized profile likelihood based confidence intervals for
parameter estimates.
License: GPL
URL:
http://cemsiis.meduniwien.ac.at/en/kb/science-research/software/statistical-software/fllogistf/
LazyLoad: yes
Packaged: 2013-06-26 11:46:55 UTC; Georg
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-06-26 18:31:49

● Data Source: CranContrib
● 0 images, 20 functions, 0 datasets
Reverse Depends: 1

miceadds : Some Additional Multiple Imputation Functions, Especially for 'mice'

Package: miceadds
Type: Package
Title: Some Additional Multiple Imputation Functions, Especially for
'mice'
Version: 1.8-0
Date: 2016-05-31
Author:
Alexander Robitzsch [aut, cre], Simon Grund [aut],
Thorsten Henke [aut]
Maintainer:
Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description:
Contains some auxiliary functions for multiple
imputation which complements existing functionality
in R.
In addition to some utility functions, main features
include plausible value imputation, multilevel
imputation functions, imputation using partial least
squares (PLS) for high dimensional predictors, nested
multiple imputation, and two-way imputation.
Depends: R (>= 2.15.0), mice
Imports: car, foreign, graphics, grouped, lme4, MASS, MCMCglmm,
methods, mitools, multiwayvcov, mvtnorm, Rcpp, sirt, sjmisc,
stats, TAM (>= 1.99), utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: Amelia, BIFIEsurvey, haven, Hmisc, inline, jomo, MBESS,
mitml, pan, pls, Zelig
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-05-31 18:46:25 UTC; sunpn563
Repository: CRAN
Date/Publication: 2016-05-31 23:15:35

● Data Source: CranContrib
● 0 images, 68 functions, 7 datasets
● Reverse Depends: 0

HardyWeinberg : Statistical Tests and Graphics for Hardy-Weinberg Equilibrium

Package: HardyWeinberg
Type: Package
Title: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Version: 1.5.6
Date: 2016-03-29
Author: Jan Graffelman <jan.graffelman@upc.edu>
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 1.8.0), mice
Description: Contains tools for exploring Hardy-Weinberg equilibrium for
diallelic genetic marker data. All classical tests (chi-square, exact,
likelihood-ratio and permutation tests) for Hardy-Weinberg equilibrium
are included in the package, as well as functions for power computation and
for the simulation of marker data under equilibrium and disequilibrium.
Routines for dealing with markers on the X-chromosome are included.
Functions for testing equilibrium in the presence of missing data by
using multiple imputation are also provided. Implements several graphics
for exploring the equilibrium status of a large set of diallelic markers:
ternary plots with acceptance regions, log-ratio plots and Q-Q plots.
License: GPL (>= 2)
URL: http://www.r-project.org
NeedsCompilation: no
Packaged: 2016-03-29 17:39:03 UTC; jan
Repository: CRAN
Date/Publication: 2016-03-29 20:04:32

● Data Source: CranContrib
● Cran Task View: Genetics
6 images, 40 functions, 4 datasets
● Reverse Depends: 0

SYNCSA : SYNCSA - Analysis of functional and phylogenetic patterns in metacommunities.

Package: SYNCSA
Type: Package
Title: SYNCSA - Analysis of functional and phylogenetic patterns in
metacommunities.
Version: 1.3.2
Date: Feb 03, 2014
Author: Vanderlei Julio Debastiani
Maintainer: Vanderlei Julio Debastiani
<vanderleidebastiani@yahoo.com.br>
Depends: vegan, mice, FD
Description: Analysis of metacommunities based on functional traits and phylogeny of the community components. The functions that are offered here implement for the R environment methods that have been available in the SYNCSA application written in C++ (by Valerio Pillar, available at http://ecoqua.ecologia.ufrgs.br/ecoqua/SYNCSA.html).
License: GPL-2
Packaged: 2014-02-01 22:06:03 UTC; vanderleidebastiani
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-02-07 16:41:09

● Data Source: CranContrib
● Cran Task View: Phylogenetics
● 0 images, 14 functions, 1 datasets
Reverse Depends: 1

CALIBERrfimpute : Multiple imputation using MICE and Random Forest

Package: CALIBERrfimpute
Type: Package
Title: Multiple imputation using MICE and Random Forest
Version: 0.1-6
Date: 2014-04-28
Authors@R: c(person("Anoop", "Shah", role=c("aut", "cre"), email="anoop@doctors.org.uk"),
person("Jonathan", "Bartlett", role="ctb"),
person("Harry", "Hemingway", role="ths"),
person("Owen", "Nicholas", role="ths"),
person("Aroon", "Hingorani", role="ths"))
Description: Functions to impute using Random Forest under Full Conditional Specifications (Multivariate Imputation by Chained Equations). The CALIBER programme is funded by the Wellcome Trust (086091/Z/08/Z) and the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research programme (RP-PG-0407-10314). The author is supported by a Wellcome Trust Clinical Research Training Fellowship (0938/30/Z/10/Z).
License: GPL-3
Depends: mice (>= 2.20)
Imports: mvtnorm, randomForest
Suggests: missForest, rpart, survival, xtable
Author: Anoop Shah [aut, cre],
Jonathan Bartlett [ctb],
Harry Hemingway [ths],
Owen Nicholas [ths],
Aroon Hingorani [ths]
Maintainer: Anoop Shah <anoop@doctors.org.uk>
Repository: CRAN
Repository/R-Forge/Project: caliberanalysis
Repository/R-Forge/Revision: 41
Repository/R-Forge/DateTimeStamp: 2014-04-30 11:27:26
Date/Publication: 2014-05-07 19:26:43
Packaged: 2014-04-30 12:36:41 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● 0 images, 6 functions, 0 datasets
● Reverse Depends: 0

hot.deck : Multiple Hot-Deck Imputation

Package: hot.deck
Type: Package
Title: Multiple Hot-Deck Imputation
Version: 1.1
Date: 2015-11-19
Author: Skyler Cranmer, Jeff Gill, Natalie Jackson, Andreas Murr, Dave Armstrong
Maintainer: Dave Armstrong <dave@quantoid.net>
Description: Performs multiple hot-deck imputation of categorical and continuous variables in a data frame.
License: GPL (>= 2)
Depends: R (>= 3.0), mice
Suggests: knitr, mitools, miceadds, Zelig
NeedsCompilation: no
Packaged: 2015-11-19 12:38:13 UTC; armstrod
Repository: CRAN
Date/Publication: 2016-01-04 17:37:48

● Data Source: CranContrib
● 0 images, 6 functions, 2 datasets
● Reverse Depends: 0

accelmissing : Missing Value Imputation for Accelerometer Data

Package: accelmissing
Type: Package
Title: Missing Value Imputation for Accelerometer Data
Version: 1.0
Date: 2016-03-25
Author: Jung Ae Lee <jungaeleeb@gmail.com>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Description: Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
License: GPL (>= 2)
Depends: R (>= 2.10), mice, pscl
Packaged: 2016-03-25 15:23:54 UTC; leeju
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-25 20:00:49

● Data Source: CranContrib
● 0 images, 11 functions, 3 datasets
● Reverse Depends: 0

stpm : Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes

Package: stpm
Type: Package
Title: Stochastic Process Model for Analysis of Longitudinal and
Time-to-Event Outcomes
Version: 1.3.1
Date: 2016-05-24
Author: I. Y. Zhbannikov, I. V. Akushevich, K. G. Arbeev, A. I. Yashin.
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>
Description: Utilities to estimate parameters of the models with survival functions
induced by stochastic covariates. Miscellaneous functions for data preparation
and simulation are also provided. For more information, see: (i) "Life tables
with covariates: Dynamic model for nonlinear analysis of longitudinal data"
by Akushevich, I. et al. (2005), Mathematical Population Studies 12(2), 51(80),
<DOI:10.1080/08898480590932296>; (ii) "Stochastic model for analysis of
longitudinal data on aging and mortality" by Yashin A. et al. (2007),
Mathematical Biosciences, 208(2), 538-551, <DOI:10.1016/j.mbs.2006.11.006>;
(iii) "Health decline, aging and mortality: how are they related?"
by Yashin A. et al. (2007),
Biogerontology 8(3), 291(302), <DOI:10.1007/s10522-006-9073-3>.
License: GPL
Imports: Rcpp (>= 0.11.1)
LinkingTo: Rcpp,RcppArmadillo
Depends: mice, sas7bdat, stats, nloptr, survival, tools
Suggests: knitr (>= 1.11)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-24 02:01:27 UTC; ilya
Repository: CRAN
Date/Publication: 2016-05-24 05:39:03

● Data Source: CranContrib
● 0 images, 19 functions, 0 datasets
● Reverse Depends: 0

weightTAPSPACK : Weight TAPS Data

Package: weightTAPSPACK
Title: Weight TAPS Data
Version: 0.1
Author: David G. Carlson, Michelle Torres, and Taeyong Park
Maintainer: David G. Carlson <carlson.david@wustl.edu>
Description: The weightTAPSPACK subsets The American Panel Survey (TAPS) data by outcome and covariates, models the attrition rates, imputes data for attrited individuals, and finds weights for analysis.
Depends: R (>= 3.0.0), methods, survey, plyr, HotDeckImputation, mice
License: GPL (>= 2)
LazyDataCompression: xz
LazyData: yes
NeedsCompilation: no
Packaged: 2015-09-25 22:21:51 UTC; david
Repository: CRAN
Date/Publication: 2015-09-26 09:09:00

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