Last data update: 2014.03.03

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Results 1 - 10 of 64 found.
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meboot : Maximum Entropy Bootstrap for Time Series

Package: meboot
Version: 1.4-6
Date: 2015-06-09
Title: Maximum Entropy Bootstrap for Time Series
Author: Hrishikesh D. Vinod <Vinod@fordham.edu> and Javier
López-de-Lacalle
Maintainer: Javier López-de-Lacalle <javlacalle@yahoo.es>
Encoding: UTF-8
Depends: R (>= 3.0.0), dynlm, nlme
Suggests: boot, car, ConvergenceConcepts, geepack, lmtest, strucchange,
plm, zoo
Description: This package performs maximum entropy density based
dependent data bootstrap. An algorithm is provided to create a
population of time series (ensemble) without assuming
stationarity. The reference paper (Vinod, H.D., 2004) explains
how the algorithm satisfies the ergodic theorem and the central
limit theorem.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2015-06-09 20:52:30 UTC; javlacalle
Repository: CRAN
Date/Publication: 2015-06-10 02:23:38

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

mgcv : Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation

Package: mgcv
Version: 1.8-12
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>
Title: Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness
Estimation
Description: GAMs, GAMMs and other generalized ridge regression with
multiple smoothing parameter estimation by GCV, REML or UBRE/AIC.
Includes a gam() function, a wide variety of smoothers, JAGS
support and distributions beyond the exponential family.
Priority: recommended
Depends: R (>= 2.14.0), nlme (>= 3.1-64)
Imports: methods, stats, graphics, Matrix
Suggests: splines, parallel, survival, MASS
LazyLoad: yes
ByteCompile: yes
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-03-02 18:21:25 UTC; sw283
Repository: CRAN
Date/Publication: 2016-03-03 07:57:37

● Data Source: CranContrib
● Cran Task View: Bayesian, Econometrics
● 0 images, 121 functions, 0 datasets
Reverse Depends: 39

likelihood : Methods for Maximum Likelihood Estimation

Package: likelihood
Version: 1.7
Title: Methods for Maximum Likelihood Estimation
Date: 2015-02-17
Author: Lora Murphy <murphyl@caryinstitute.org>
Maintainer: Lora Murphy <murphyl@caryinstitute.org>
Description: Tools for maximum likelihood estimation of parameters
of scientific models.
Depends: R (>= 2.1.1), nlme
License: GPL-2
Packaged: 2015-02-24 19:29:08 UTC; LORA
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-24 20:39:19

● Data Source: CranContrib
● 0 images, 9 functions, 2 datasets
● Reverse Depends: 0

gamlss : Generalised Additive Models for Location Scale and Shape

Package: gamlss
Description: Functions for fitting, displaying and checking GAMLSS Models.
Version: 4.4-0
Date: 2016-05-18
Authors@R: c(person("Mikis", "Stasinopoulos", role = c("aut", "cre", "cph"),
email = "d.stasinopoulos@londonmet.ac.uk"),
person("Bob", "Rigby", role = c("aut"),
email = "r.rigby@londonmet.ac.uk" ),
person("Vlasios", "Voudouris", role = "ctb"),
person("Calliope", "Akantziliotou", role = "ctb"),
person("Marco", "Enea", role = "ctb"),
person("Daniil", "Kiose", role = "ctb")
)
Title: Generalised Additive Models for Location Scale and Shape
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
Depends: R (>= 3.2.0), graphics, stats, splines, utils, grDevices,
gamlss.data, gamlss.dist (>= 4.3.1), nlme, parallel
LazyLoad: yes
Imports: MASS, survival, methods
License: GPL-2 | GPL-3
URL: http://www.gamlss.org/
NeedsCompilation: yes
Packaged: 2016-05-18 08:07:42 UTC; stasinom
Author: Mikis Stasinopoulos [aut, cre, cph],
Bob Rigby [aut],
Vlasios Voudouris [ctb],
Calliope Akantziliotou [ctb],
Marco Enea [ctb],
Daniil Kiose [ctb]
Repository: CRAN
Date/Publication: 2016-05-18 10:36:36

● Data Source: CranContrib
● Cran Task View: Econometrics
● 0 images, 69 functions, 0 datasets
Reverse Depends: 10

lmeSplines : Add smoothing spline modelling capability to nlme.

Package: lmeSplines
Version: 1.1-10
Title: Add smoothing spline modelling capability to nlme.
Author: Rod Ball <rod.ball@scionresearch.com>
Maintainer: Andrzej Galecki <agalecki@umich.edu>
Description: Add smoothing spline modelling capability to nlme. Fit
smoothing spline terms in Gaussian linear and nonlinear
mixed-effects models
Depends: nlme (>= 3.1-29)
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2013-08-04 02:08:38
Repository/R-Forge/Project: nlmeu
Repository/R-Forge/Revision: 122
Repository/R-Forge/DateTimeStamp: 2013-08-02 14:37:01
Packaged: 2013-08-02 18:20:41 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: SocialSciences
● 0 images, 2 functions, 1 datasets
● Reverse Depends: 0

lmenssp : Linear Mixed Effects Models with Non-Stationary Stochastic Processes

Package: lmenssp
Type: Package
Title: Linear Mixed Effects Models with Non-Stationary Stochastic
Processes
Version: 1.1
Date: 2015-07-17
Author: Ozgur Asar, Peter J. Diggle
Maintainer: Ozgur Asar <o.asar@lancaster.ac.uk>
Depends: MASS, nlme, mvtnorm, geoR,
Description: Contains functions to estimate model parameters and filter, smooth and forecast random effects coefficients for mixed models with stationary and non-stationary stochastic processes under multivariate normal and t response distributions, diagnostic checks, bootstrap standard error calculation, etc.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-07-17 16:45:59 UTC; asar
Repository: CRAN
Date/Publication: 2015-07-17 19:58:17

● Data Source: CranContrib
● 0 images, 10 functions, 2 datasets
● Reverse Depends: 0

lmfor : Functions for Forest Biometrics

Package: lmfor
Type: Package
Title: Functions for Forest Biometrics
Version: 1.1
Date: 2015-03-10
Author: Lauri Mehtatalo
Maintainer: Lauri Mehtatalo <lauri.mehtatalo@uef.fi>
Depends: stats4, nlme, MASS
Description: Functions related to forest biometrics, including illustrative graphics, numerical computation, modeling height-diameter relationships, prediction of tree volumes, and recovery of tree diameter distributions. Datasets on tree height-diameter relationship and light response of moss photosynthesis are included.
License: GPL-2
Packaged: 2015-03-10 14:50:03 UTC; lamehtat
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-10 17:47:31

● Data Source: CranContrib
● 0 images, 16 functions, 1 datasets
● Reverse Depends: 0

longpower : Sample Size Calculations for Longitudinal Data

Package: longpower
Type: Package
Title: Sample Size Calculations for Longitudinal Data
Version: 1.0-15
Date: 2016-05-16
Author: Michael C. Donohue, Anthony C. Gamst, Steven D. Edland
Maintainer: Michael C. Donohue <mdonohue@usc.edu>
Description: The longpower package contains functions for computing
power and sample size for linear models of longitudinal data
based on the formula due to Liu and Liang (1997) and Diggle et
al (2002). Either formula is expressed in terms of marginal
model or Generalized Estimating Equations (GEE) parameters.
This package contains functions which translate pilot mixed
effect model parameters (e.g. random intercept and/or slope)
into marginal model parameters so that the formulas of Diggle
et al or Liu and Liang formula can be applied to produce sample
size calculations for two sample longitudinal designs assuming
known variance.
License: GPL (>= 2)
Depends: R (>= 3.0.0), lme4 (>= 1.0), nlme
Suggests: knitr, gee, testthat, methods
LazyLoad: yes
VignetteBuilder: knitr
URL: https://bitbucket.org/mdonohue/longpower
Collate: 'longpower-package.R' 'diggle.linear.power.R'
'edland.linear.power.R' 'liu.liang.linear.power.R' 'lmmpower.R'
'power_mmrm.R' 'print.power.longtest.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 23:30:00 UTC; mdonohue
Repository: CRAN
Date/Publication: 2016-05-18 01:31:14

● Data Source: CranContrib
● Cran Task View: ClinicalTrials
● 0 images, 9 functions, 0 datasets
● Reverse Depends: 0

multilevel : Multilevel Functions

Package: multilevel
Version: 2.5
Date: 2013-03-26
Title: Multilevel Functions
Author: Paul Bliese
Maintainer: Paul Bliese <pdbliese@gmail.com>
Description: The functions in this package are designed to be used in
the analysis of multilevel data by applied psychologists. The
package includes functions for estimating common within-group
agreement and reliability indices. The package also contains
basic data manipulation functions that facilitate the analysis
of multilevel and longitudinal data.
Depends: R (>= 2.10), nlme, MASS
License: GPL (>= 2)
Packaged: 2013-04-10 13:05:42 UTC; Paul
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-10 16:12:37

● Data Source: CranContrib
● 0 images, 38 functions, 7 datasets
Reverse Depends: 1

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