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
Package: FamEvent
Type: Package
Title: Simulation of Time-to-Event Family Data and Penetrance
Estimation
Version: 1.1
Date: 2016-03-09
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>
Description: Generates time-to-event family data associated with mutated genes arising from various family study designs such as population-based, clinic- based, or multi-stage designs and provides functions to fit family data accounting for the study design and estimate age-dependent penetrance functions. It also provides carrier probabilities for those with missing genotypes and penetrance estimations are based on an Expectation-Maximization algorithm when genotypes are missing.
License: GPL (>= 2.0)
NeedsCompilation: no
Depends: R (>= 3.0.0), base, MASS, truncnorm, survival, kinship2
Repository: CRAN
Packaged: 2016-03-09 11:33:37 UTC; yunheechoi
Date/Publication: 2016-03-09 15:20:48
Package: spate
Title: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE
Approach
Version: 1.4
Date: 2015-01-25
Author: Fabio Sigrist, Hans R. Kuensch, Werner A. Stahel
Maintainer: Fabio Sigrist <sigrist@stat.math.ethz.ch>
Depends: R (>= 2.10), mvtnorm, truncnorm
SystemRequirements: fftw3 (>= 3.1.2)
Description: This package provides functionality for spatio-temporal modeling of large data sets. A Gaussian process in space and time is defined through a stochastic partial differential equation (SPDE). The SPDE is solved in the spectral space, and after discretizing in time and space, a linear Gaussian state space model is obtained. When doing inference, the main computational difficulty consists in evaluating the likelihood and in sampling from the full conditional of the spectral coefficients, or equivalently, the latent space-time process. In comparison to the traditional approach of using a spatio-temporal covariance function, the spectral SPDE approach is computationally advantageous. This package aims at providing tools for two different modeling approaches. First, the SPDE based spatio-temporal model can be used as a component in a customized hierarchical Bayesian model (HBM). The functions of the package then provide parameterizations of the process part of the model as well as computationally efficient algorithms needed for doing inference with the HBM. Alternatively, the adaptive MCMC algorithm implemented in the package can be used as an algorithm for doing inference without any additional modeling. The MCMC algorithm supports data that follow a Gaussian or a censored distribution with point mass at zero. Covariates can be included in the model through a regression term.
License: GPL-2
Packaged: 2015-01-25 17:54:20 UTC; zeileis
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-01-25 21:30:56
Package: validateRS
Type: Package
Title: One-Sided Multivariate Testing Procedures for Rating Systems
Version: 1.0.0
Date: 2015-12-24
Author: Coppens F., Mayer M., Millischer L., Resch F., Sauer S., Schulze K.
Maintainer: Coppens F. <francois.coppens@nbb.be>
Description: An implementation of statistical tests for the validation of rating systems as described in the ECB Working paper ''Advances in multivariate back-testing for credit risk underestimation'', by F. Coppens, M. Mayer, L. Millischer, F. Resch, S. Sauer, K. Schulze (ECB WP series, forthcoming).
Depends: truncnorm, triangle, reshape2, data.table
License: EUPL
Packaged: 2015-12-26 08:57:42 UTC; Karine
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-12-26 10:04:35
Package: zCompositions
Type: Package
Title: Imputation of Zeros and Nondetects in Compositional Data Sets
Version: 1.0.3-1
Date: 2016-04-14
Author: Javier Palarea-Albaladejo and Josep Antoni Martin-Fernandez
Maintainer: Javier Palarea-Albaladejo <javier.palarea@bioss.ac.uk>
Depends: R (>= 2.14.0), MASS, NADA, truncnorm
ByteCompile: yes
Description: Implements principled methods to impute multivariate left-censored data and zeros in compositional data sets.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-04-14 12:57:55 UTC; Japal
Date/Publication: 2016-04-14 16:30:57
providing 
.