Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 15 found.
[1] < 1 2 > [2]  Sort:

likelihoodAsy : Functions for Likelihood Asymptotics

Package: likelihoodAsy
Version: 0.41
Priority: optional
Title: Functions for Likelihood Asymptotics
Author: Ruggero Bellio and Donald Pierce
Maintainer: Ruggero Bellio <ruggero.bellio@uniud.it>
Depends: nleqslv, Rsolnp, alabama, pracma, cond
Description: Functions for computing the r and r* statistics for inference on an arbitrary scalar function of model parameters, plus some code for the (modified) profile likelihood.
Suggests: MASS, lme4, knitr
License: GPL (>= 2)
NeedsCompilation: no
LazyLoad: yes
VignetteBuilder: knitr
Packaged: 2016-04-15 13:04:53 UTC; bellio
Repository: CRAN
Date/Publication: 2016-04-19 13:50:15

● Data Source: CranContrib
● 0 images, 6 functions, 1 datasets
● Reverse Depends: 0

mipfp : Multidimensional Iterative Proportional Fitting and Alternative Models

Package: mipfp
Type: Package
Title: Multidimensional Iterative Proportional Fitting and Alternative
Models
Version: 3.0-1
Date: 2016-04-29
Authors@R: c(
person("Johan", "Barthelemy", role = c("aut", "cre"), email = "johan@uow.edu.au"),
person("Thomas", "Suesse", role = "aut"),
person("Mohammad", "Namazi-Rad", role = "ctb"))
Author: Johan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Maintainer: Johan Barthelemy <johan@uow.edu.au>
Description: An implementation of the iterative proportional fitting (IPFP),
maximum likelihood, minimum chi-square and weighted least squares procedures
for updating a N-dimensional array with respect to given target marginal
distributions (which, in turn can be multi-dimensional). The package also
provides an application of the IPFP to simulate multivariate Bernoulli
distributions.
LazyData: yes
Depends: cmm, Rsolnp, numDeriv, R (>= 2.10.0)
License: GPL-2
URL: https://github.com/jojo-/mipfp
NeedsCompilation: no
Packaged: 2016-04-29 03:24:55 UTC; johan
Repository: CRAN
Date/Publication: 2016-04-29 12:11:46

● Data Source: CranContrib
● 0 images, 24 functions, 2 datasets
● Reverse Depends: 0

DNAtools : Tools for analysing forensic genetic DNA data

Package: DNAtools
Type: Package
Title: Tools for analysing forensic genetic DNA data
Version: 0.1-21
Date: 2014-09-03
Author: Torben Tvedebrink <tvede@math.aau.dk> and James Curran <j.curran@auckland.ac.nz>. Mikkel Meyer Andersen <mikl@math.aau.dk> assisted on the multicore/CPU implementation.
Maintainer: Torben Tvedebrink <tvede@math.aau.dk>
Description: Computationally efficient tools for comparing all pairs of profiles in a DNA database. The expectation and covariance of the summary statistic
is implemented for fast computing. Routines for estimating proportions of close related individuals are available. The use of wildcards (also
called F-designation) is implemented. Dedicated functions ease plotting the results.
License: GPL (>= 2)
Depends: R (>= 2.10.0), Rsolnp, multicool
Imports: Rcpp (>= 0.11.2)
LinkingTo: Rcpp
Packaged: 2014-09-03 09:25:02 UTC; tvede
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-09-03 18:07:11

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

GsymPoint : Estimation of the Generalized Symmetry Point, an Optimal Cutpoint in Continuous Diagnostic Tests

Package: GsymPoint
Type: Package
Title: Estimation of the Generalized Symmetry Point, an Optimal
Cutpoint in Continuous Diagnostic Tests
Version: 1.0
Date: 2015-08-27
Depends: truncnorm, Rsolnp
Author: Mónica López-Ratón, Carmen Cadarso-Suárez, Elisa M. Molanes-López, Emilio Letón
Maintainer: Mónica López-Ratón <monica.lopez.raton@gmail.com>
Description: Estimation of the cutpoint defined by the Generalized Symmetry point in a binary classification setting based on a continuous diagnostic test or marker. Two methods have been implemented to construct confidence intervals for this optimal cutpoint, one based on the Generalized Pivotal Quantity and the other based on Empirical Likelihood. Numerical and graphical outputs for these two methods are easily obtained.
License: GPL
Encoding: latin1
Packaged: 2015-08-27 20:47:04 UTC; Mari
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-28 01:20:23

● Data Source: CranContrib
6 images, 6 functions, 3 datasets
● Reverse Depends: 0

DiscreteInverseWeibull : Discrete Inverse Weibull Distribution

Package: DiscreteInverseWeibull
Type: Package
Title: Discrete Inverse Weibull Distribution
Version: 1.0.2
Date: 2016-04-29
Author: Alessandro Barbiero, Riccardo Inchingolo, Mario Samigli
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>
Description: Probability mass function, distribution function, quantile function, random generation and parameter estimation for the discrete inverse Weibull distribution.
License: GPL
LazyLoad: yes
Depends: Rsolnp
Packaged: 2016-04-30 07:58:00 UTC; Barbiero
Repository: CRAN
Date/Publication: 2016-05-01 00:44:40
NeedsCompilation: no

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

DiscreteWeibull : Discrete Weibull Distributions (Type 1 and 3)

Package: DiscreteWeibull
Type: Package
Title: Discrete Weibull Distributions (Type 1 and 3)
Version: 1.1
Date: 2015-10-15
Author: Alessandro Barbiero
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>
Description: Probability mass function, distribution function, quantile function, random generation and parameter estimation for the type I and III discrete Weibull distributions.
License: GPL
LazyLoad: yes
Depends: Rsolnp, stats
Packaged: 2015-10-17 08:36:21 UTC; Barbiero
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-18 01:21:16

● Data Source: CranContrib
5 images, 12 functions, 0 datasets
● Reverse Depends: 0

GEVStableGarch : ARMA-GARCH/APARCH Models with GEV and Stable Distributions

Package: GEVStableGarch
Type: Package
Title: ARMA-GARCH/APARCH Models with GEV and Stable Distributions
Version: 1.1
Date: 2015-08-19
Authors@R: c( person( "Thiago", "Sousa", role = c("aut", "cre"), email = "thiagoestatistico@gmail.com"), person( "Cira", "Otiniano", role = c("ctb"), email = "cira@unb.br"), person( "Silvia", "Lopes", role = c("ctb"), email = "silviarc.lopes@gmail.com"), person( "Diethelm", "Wuertz", role = c("ctb","cph"), email = "wuertz@itp.phys.ethz.ch"))
Description: Package for simulation and estimation of ARMA-GARCH/APARCH models with GEV and stable distributions.
License: GPL (>= 2)
Depends: R (>= 2.15.0), Rsolnp, methods, skewt
Imports: fGarch, fExtremes, stabledist, timeDate, timeSeries
Enhances: stable
Note: Package stable is available at http://www.robustanalysis.com
LazyData: yes
NeedsCompilation: no
Packaged: 2015-08-20 01:18:22 UTC; thiago
Author: Thiago Sousa [aut, cre],
Cira Otiniano [ctb],
Silvia Lopes [ctb],
Diethelm Wuertz [ctb, cph]
Maintainer: Thiago Sousa <thiagoestatistico@gmail.com>
Repository: CRAN
Date/Publication: 2015-08-20 10:39:40

● Data Source: CranContrib
● Cran Task View: Finance, TimeSeries
2 images, 12 functions, 0 datasets
● Reverse Depends: 0

SemiMarkov : Multi-States Semi-Markov Models

Package: SemiMarkov
Type: Package
Title: Multi-States Semi-Markov Models
Version: 1.4.3
Date: 2016-01-18
Author: Agnieszka Listwon-Krol, Philippe Saint-Pierre
Maintainer: Agnieszka Listwon-Krol <agnieszka.krol@isped.u-bordeaux2.fr>
Description: Functions for fitting multi-state semi-Markov models to longitudinal data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right-censoring can be taken into account and both constant and time-varying covariates can be included using a Cox proportional model.
Depends: R (>= 2.10.0), numDeriv, MASS, Rsolnp
License: GPL (>= 2)
Packaged: 2016-01-18 17:31:21 UTC; al10
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-19 09:00:08

● Data Source: CranContrib
● Cran Task View: Survival
● 0 images, 9 functions, 1 datasets
● Reverse Depends: 0

LDOD : Finding Locally D-optimal optimal designs for some nonlinear and generalized linear models.

Package: LDOD
Type: Package
Title: Finding Locally D-optimal optimal designs for some nonlinear and
generalized linear models.
Version: 1.0
Date: 2013-02-25
Depends: R (>= 2.10.0), Rsolnp, Rmpfr
Author: Ehsan Masoudi, Majid Sarmad and Hooshang Talebi
Maintainer: Ehsan Masoudi <esn_mud@yahoo.com>
Description: this package provides functions for Finding Locally
D-optimal designs for Logistic, Negative Binomial, Poisson,
Michaelis-Menten, Exponential, Log-Linear, Emax, Richards,
Weibull and Inverse Quadratic regression models and also
functions for auto-constructing Fisher information matrix and
Frechet derivative based on some input variables and without
user-interfere.
License: GPL (>= 2)
Repository: CRAN
Repository/R-Forge/Project: ldod
Repository/R-Forge/Revision: 26
Repository/R-Forge/DateTimeStamp: 2013-03-07 08:12:45
Date/Publication: 2013-03-07 16:11:33
Packaged: 2013-03-07 11:15:34 UTC; rforge
NeedsCompilation: no

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

IDPSurvival : Imprecise Dirichlet Process for Survival Analysis

Package: IDPSurvival
Version: 1.0
Date: 2014-07-14
Title: Imprecise Dirichlet Process for Survival Analysis
Author: Francesca Mangili <francesca@idsia.ch>,
Alessio Benavoli <alessio@idsia.ch>,
Cassio P. de Campos <cassiopc@acm.org>,
Marco Zaffalon <zaffalon@idsia.ch>
Maintainer: Francesca Mangili <francesca@idsia.ch>
Depends: R (>= 3.0.2), Rsolnp, gtools, survival
Description: This package contains functions to perform robust
nonparametric survival analysis with right censored
data using a prior near-ignorant Dirichlet Process.
License: GPL (>= 3) | file LICENSE
URL: http://ipg.idsia.ch/software/
Packaged: 2014-07-14 12:07:03 UTC; graycassio
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-07-14 14:50:08

● Data Source: CranContrib
● Cran Task View: Survival
6 images, 5 functions, 2 datasets
● Reverse Depends: 0