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: md
Type: Package
Title: Selecting Bandwidth for Kernel Density Estimator with Minimum
Distance Method
Version: 1.0.4
Date: 2016-02-21
Author: Genzo Kaga
Maintainer: Genzo Kaga <genzo.k-1321@ruri.waseda.jp>
Description: Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.
License: GPL-2 | GPL-3
LazyData: TRUE
Packaged: 2016-02-21 15:40:32 UTC; Genzo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-02-21 17:02:45
Package: mda
Version: 0.4-8
Date: 2015-11-30
Author: S original by Trevor Hastie & Robert Tibshirani. Original R port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley.
Maintainer: Trevor Hastie <hastie@stanford.edu>
Description: Mixture and flexible discriminant analysis, multivariate
adaptive regression splines (MARS), BRUTO, ...
Title: Mixture and Flexible Discriminant Analysis
Depends: R (>= 1.9.0), stats, class
Suggests: earth
License: GPL-2
Packaged: 2015-11-30 22:52:41 UTC; hastie
Repository: CRAN
Date/Publication: 2015-12-01 08:01:19
NeedsCompilation: yes
Package: mded
Type: Package
Title: Measuring the Difference Between Two Empirical Distributions
Version: 0.1-2
Date: 2015-04-27
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>
Description: Provides a function for measuring the difference between two independent or non-independent empirical distributions and returning a significance level of the difference.
License: CC0
NeedsCompilation: no
Packaged: 2015-04-27 08:34:26 UTC; user1
Repository: CRAN
Date/Publication: 2015-04-27 11:04:01
Package: mdhglm
Type: Package
Title: Multivariate Double Hierarchical Generalized Linear Models
Version: 1.4
Date: 2016-06-28
Author: Youngjo Lee, Marek Molas, Maengseok Noh
Maintainer: Maengseok Noh <msnoh@pknu.ac.kr>
Description: Allows various models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance can be further modeled as random-effect models.
Depends: R (>= 3.2.0), methods, Matrix, numDeriv, boot, mvtnorm
License: Unlimited
NeedsCompilation: no
Packaged: 2016-06-28 06:47:37 UTC; msnoh
Repository: CRAN
Date/Publication: 2016-06-28 08:56:42
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: mdsdt
Version: 1.2
Date: 2016-03-11
Title: Functions for Analysis of Data with General Recognition Theory
Author: Robert X.D. Hawkins <rxdh@stanford.edu>, Joe Houpt
<joseph.houpt@wright.edu>, Noah Silbert <noahpoah@gmail.com>, Leslie
Blaha <Leslie.Blaha@wpafb.af.mil>, Thomas D. Wickens
<twickens@socrates.berkeley.edu>
Maintainer: Robert X.D. Hawkins <rxdh@stanford.edu>
Depends: R (>= 1.8.0), ellipse, mnormt, polycor
Description: Tools associated with General
Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 2x2 and more
general designs, associated plotting and model comparison tools,
and tests of marginal response invariance and report independence.
License: GPL (>= 2)
Collate: 'grt-data.R' 'grt_base.R'
NeedsCompilation: no
Packaged: 2016-03-12 08:23:53 UTC; rxdh
Repository: CRAN
Date/Publication: 2016-03-12 09:57:29
Package: measuRing
Type: Package
Title: Detection and Control of Tree-Ring Widths on Scanned Image
Sections
Version: 0.3
Author: Wilson Lara, Carlos Sierra, Felipe Bravo
Date: 2015-03-23
Maintainer: Wilson Lara <wilarhen@gmail.com>
Depends: pastecs, png, tiff
Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processesing of image reflectances to produce gray matrices and a time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values.
License: GPL-3
LazyData: TRUE
Packaged: 2015-03-23 08:05:11 UTC; wilar
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-23 10:49:59
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
providing 
.