Package: Rgbp
Version: 1.1.1
Date: 2015-08-03
Title: Hierarchical Modeling and Frequency Method Checking on
Overdispersed Gaussian, Poisson, and Binomial Data
Author: Joseph Kelly, Hyungsuk Tak, and Carl Morris
Maintainer: Joseph Kelly <josephkelly@post.harvard.edu>
Depends: R (>= 2.2.0), sn (>= 0.4-18), mnormt (>= 1.5-1)
Description: We utilize approximate Bayesian machinery to fit two-level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether the resulting approximate Bayesian interval estimates for random effects meet the nominal confidence levels via frequency coverage evaluation. The data that Rgbp assumes comprise observed sufficient statistic for each random effect, such as an average or a proportion of each group, without population-level data. The approximate Bayesian tool equipped with the adjustment for density maximization produces approximate point and interval estimates for model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial data, the package provides an option to produce posterior samples of all the model parameters via the acceptance-rejection method. The package provides a quick way to evaluate coverage rates of the resultant Bayesian interval estimates for random effects via a parametric bootstrapping, which we call frequency method checking.
License: GPL-2
BugReports: https://github.com/jyklly/Rgbp/issues
NeedsCompilation: no
Packaged: 2016-01-12 00:10:48 UTC; hyungsuktak
Repository: CRAN
Date/Publication: 2016-01-13 18:15:21
Package: GenForImp
Type: Package
Title: The Forward Imputation: A Sequential Distance-Based Approach for
Imputing Missing Data
Version: 1.0
Date: 2015-02-27
Author: Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>
Description: Two methods based on the Forward Imputation approach are implemented for the imputation of quantitative missing data. One method alternates Nearest Neighbour Imputation and Principal Component Analysis (function 'ForImp.PCA'), the other uses Nearest Neighbour Imputation with the Mahalanobis distance (function 'ForImp.Mahala').
License: GPL-3
Depends: mvtnorm, sn
Packaged: 2015-02-27 17:11:22 UTC; admin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-27 19:31:42
Package: LIHNPSD
Type: Package
Title: Poisson Subordinated Distribution
Version: 0.2.1
Date: 2012-04-12
Author: Stephen Horng-Twu Lihn <stevelihn@gmail.com>
Maintainer: Stephen Horng-Twu Lihn <stevelihn@gmail.com>
Description: A Poisson Subordinated Distribution to capture major
leptokurtic features in log-return time series of financial
data.
License: GPL-2
Depends: R (>= 2.14.1), sn, moments, BB, Bolstad2, optimx, Rmpfr
URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2032762
Packaged: 2012-04-13 00:31:01 UTC; slihn
Repository: CRAN
Date/Publication: 2012-04-13 05:19:27
Package: enveomics.R
Version: 1.1.0
Authors@R: c(person("Luis M.","Rodriguez-R",role=c("aut","cre"),
email="lmrodriguezr@gmail.com"))
Title: Various R Functions from the Kostas Lab
Description: A collection of R functions of common use in
the Kostas Lab for microbial ecology.
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>
URL: http://enve-omics.gatech.edu/
Depends: R (>= 2.9), stats, methods, parallel, modeest, fitdistrplus, sn, investr
Suggests: tools, vegan, ape, picante, gplots, optparse
License: Artistic-2.0
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-05-14 14:58:39 UTC; lmr3
Repository: CRAN
Date/Publication: 2016-05-14 23:15:03
Package: cSFM
Type: Package
Title: Covariate-adjusted Skewed Functional Model (cSFM)
Version: 1.1
Date: 2014-01-20
Author: Meng Li, Ana-Maria Staicu, and Howard D. Bondell
Maintainer: Meng Li <mli9@ncsu.edu>
Depends: R (>= 2.15.3), sn
Imports: mgcv, mnormt, MASS, moments, splines
LazyLoad: yes
Description: cSFM is a method to model skewed functional data when considering covariates via a copula-based approach.
License: GPL-2
Packaged: 2014-01-23 03:24:40 UTC; mli9
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-23 16:49:05
providing 
.