Last data update: 2014.03.03

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CranContrib
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Results 1 - 10 of 11 found.
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mcll : Monte Carlo Local Likelihood Estimation

Package: mcll
Type: Package
Title: Monte Carlo Local Likelihood Estimation
Version: 1.2
Date: 2014-3-1
Author: Minjeong Jeon, Cari Kaufman, and Sophia Rabe-Hesketh
Maintainer: Minjeong Jeon<jeon.117@osu.edu>
Depends: R (>= 2.13.0), statmod, locfit
Description: Maximum likelihood estimation using a Monte Carlo local likelihood (MCLL) method
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-03-01 18:56:19 UTC; jeon
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-01 20:25:56

● Data Source: CranContrib
● 0 images, 4 functions, 2 datasets
● Reverse Depends: 0

nlts : (non)linear time series analysis

Package: nlts
Title: (non)linear time series analysis
Description: R functions for (non)linear time series analysis. A core
topic is order estimation through cross-validation.
Version: 0.2-0
Date: 2012/09/11
Depends: R (>= 2.2.0), locfit (>= 1.5.3), acepack
Author: Ottar N. Bjornstad <onb1@psu.edu>
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>
URL: http://onb.ent.psu.edu/onb1/R
License: GPL
Packaged: 2013-06-03 18:37:03 UTC; onb1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-03 23:18:38

● Data Source: CranContrib
● Cran Task View: TimeSeries
● 0 images, 23 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

ELT : Experience Life Tables

Package: ELT
Type: Package
Title: Experience Life Tables
Version: 1.6
Date: 2016-04-10
Author: Julien Tomas, Frederic Planchet, Wassim Youssef
Maintainer: Wassim Youssef <Wassim.G.Youssef@gmail.com>
Description: Build experience life tables.
License: GPL (>= 2)
Depends: R (>= 2.10.0), locfit, lattice, latticeExtra, xlsx
Encoding: latin1
Packaged: 2016-04-10 10:32:05 UTC; root
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-04-11 09:06:26

● Data Source: CranContrib
● 0 images, 22 functions, 3 datasets
● Reverse Depends: 0

EMD : Empirical Mode Decomposition and Hilbert Spectral Analysis

Package: EMD
Version: 1.5.7
Date: 2014-01-30
Title: Empirical Mode Decomposition and Hilbert Spectral Analysis
Author: Donghoh Kim and Hee-Seok Oh
Maintainer: Donghoh Kim <donghoh.kim@gmail.com>
Depends: R (>= 3.0), fields (>= 6.9.1), locfit (>= 1.5-8)
Description: This package carries out empirical mode decomposition and Hilbert spectral
analysis. For usage of EMD, see Kim and Oh, 2009 (Kim, D and Oh, H.-S. (2009) EMD: A Package for Empirical
Mode Decomposition and Hilbert Spectrum, The R Journal, 1, 40-46).
License: GPL (>= 3)
URL: http://dasan.sejong.ac.kr/~dhkim/software_emd.html
Packaged: 2014-01-31 00:34:40 UTC; root
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-31 08:24:07

● Data Source: CranContrib
16 images, 15 functions, 5 datasets
● Reverse Depends: 0

SimpleTable : Bayesian Inference and Sensitivity Analysis for Causal Effects from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured Confounding

Package: SimpleTable
Version: 0.1-2
Date: 2012-6-2
Title: Bayesian Inference and Sensitivity Analysis for Causal Effects
from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured
Confounding
Author: Kevin M. Quinn <kevin_quinn@harvard.edu>,
Maintainer: Kevin M. Quinn <kquinn@law.berkeley.edu>
Depends: R (>= 2.5.1), hdrcde, locfit, MCMCpack, tcltk
Description: SimpleTable provides a series of methods to conduct
Bayesian inference and sensitivity analysis for causal effects
from 2 x 2 and 2 x 2 x K tables when unmeasured confounding is
present or suspected.
License: GPL-2
Packaged: 2012-06-02 23:00:13 UTC; kevinquinn
Repository: CRAN
Date/Publication: 2012-06-03 06:07:30

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

curvetest : The package will formally test two curves represented by discrete data sets to be statistically equal or not when the errors of the two curves were assumed either equal or not using the tube formula to calculate the tail probabilities.

Package: curvetest
Type: Package
Title: The package will formally test two curves represented by
discrete data sets to be statistically equal or not when the
errors of the two curves were assumed either equal or not using
the tube formula to calculate the tail probabilities.
Version: 2.2
Date: 2012-03-1
Author: Zhongfa Zhang
Maintainer: Zhongfa Zhang<zjz999@gmail.com>
Description: Test Equality of Curves with Homoscedastic or
Heteroscedastic Errors.
License: GPL-2
LazyLoad: yes
Depends: locfit, R.oo, methods, R.methodsS3
Packaged: 2012-03-01 17:24:07 UTC; jacob
Repository: CRAN
Date/Publication: 2012-03-01 18:12:41

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

BBRecapture : Bayesian Behavioural Capture-Recapture Models

Package: BBRecapture
Type: Package
Title: Bayesian Behavioural Capture-Recapture Models
Version: 0.1
Date: 2013-12-18
Author: Luca Tardella and Danilo Alunni Fegatelli
Maintainer: Danilo Alunni Fegatelli
<danilo.alunnifegatelli@uniroma1.it>
Depends: R (>= 3.0.2), HI, locfit, lme4, secr
Description: Model fitting of flexible behavioural recapture models based on conditional probability reparameterization and meaningful partial capture history quantification also referred to as meaningful behavioural covariate
License: GPL-2
Packaged: 2013-12-18 15:39:12 UTC; luca
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-19 12:22:14

● Data Source: CranContrib
● 0 images, 15 functions, 1 datasets
● Reverse Depends: 0

DATforDCEMRI : Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI

Package: DATforDCEMRI
Type: Package
Title: Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI
Version: 0.55
Date: 2013-03-19
Author: Gregory Z. Ferl
Maintainer: Gregory Z. Ferl <ferl.gregory@gene.com>
Depends: R (>= 2.11.0), xtable, akima, R.oo, R.methodsS3, matlab,
lattice, locfit, graphics, grDevices, grid
Suggests: R.matlab
Description: This package performs voxel-wise deconvolution analysis of
DCE-MRI contrast agent concentration versus time data and
generates the Impulse Response Function, which can be used to
approximate commonly utilized kinetic parameters such as Ktrans
and ve. An interactive advanced voxel diagnosis tool (AVDT) is
also provided to facilitate easy navigation of voxel-wise data.
License: CC BY-NC-SA 3.0
LazyLoad: yes
LazyData: yes
Packaged: 2013-03-20 03:28:49 UTC; ferlg
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-03-20 07:49:01

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

abc : Tools for Approximate Bayesian Computation (ABC)

Package: abc
Type: Package
Title: Tools for Approximate Bayesian Computation (ABC)
Version: 2.1
Date: 2015-05-04
Authors@R: c(
person("Csillery", "Katalin", role = "aut", email="kati.csillery@gmail.com"),
person("Lemaire", "Louisiane", role = "aut"),
person("Francois", "Olivier", role = "aut"),
person("Blum", "Michael",
email = "michael.blum@imag.fr", role = c("aut", "cre")))
Depends: R (>= 2.10), abc.data, nnet, quantreg, MASS, locfit
Description: Implements several ABC algorithms for
performing parameter estimation, model selection, and goodness-of-fit.
Cross-validation tools are also available for measuring the
accuracy of ABC estimates, and to calculate the
misclassification probabilities of different models.
Repository: CRAN
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2015-05-05 08:35:25 UTC; mblum
Author: Csillery Katalin [aut],
Lemaire Louisiane [aut],
Francois Olivier [aut],
Blum Michael [aut, cre]
Maintainer: Blum Michael <michael.blum@imag.fr>
Date/Publication: 2015-05-05 11:34:14

● Data Source: CranContrib
● Cran Task View: Bayesian
● 0 images, 17 functions, 0 datasets
Reverse Depends: 2