Package: ltm
Title: Latent Trait Models under IRT
Version: 1.0-0
Date: 2013-12-20
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Description: Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded Response, and the Generalized Partial Credit Models.
Depends: R (>= 2.14.0), MASS, msm, polycor
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
URL: http://rwiki.sciviews.org/doku.php?id=packages:cran:ltm
Packaged: 2013-12-20 09:11:59 UTC; drizopoulos
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-20 10:59:19
Package: NEff
Type: Package
Title: Calculating Effective Sizes Based on Known Demographic
Parameters of a Population
Version: 1.1
Date: 2015-05-04
Author: Annegret Grimm, Bernd Gruber & Klaus Henle
Maintainer: Annegret Grimm <annegret.grimm@ufz.de>
Depends: msm, bit
Description: Effective population sizes (often abbreviated as "Neff") are essential in biodiversity monitoring and conservation. For the first time, calculating effective sizes with data obtained within less than a generation but considering demographic parameters is possible. This individual based model uses demographic parameters of a population to calculate annual effective sizes and effective population sizes (per generation). A defined number of alleles and loci will be used to simulate the genotypes of the individuals. Stepwise mutation rates can be included. Variations in life history parameters (sex ratio, sex-specific survival, recruitment rate, reproductive skew) are possible. These results will help managers to define existing populations as viable or not.
License: GPL-2
Packaged: 2015-05-15 10:22:28 UTC; grimm
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-15 21:42:41
Package: NHMM
Type: Package
Title: Bayesian NHMM Modeling (Multiple Time Series)
Version: 3.5
Date: 2014-08-15
Author: Tracy Holsclaw
Acknowledgements: This work was supported by a grant from the U.S.
Department of Energy, (through the Earth System Models (EaSM)
program.( This package was developed under the direction of
Padhraic Smyth at the Department of Computer Science and
Statistics at the University of California, Irvine and in
collaboration with Andrew Robertson and Arthur Greene of the
International Research Institute for Climate and Society at The
Earth Institute at Columbia University.
Maintainer: Tracy Holsclaw <iamrandom@iamrandom.com>
Description: Bayesian NHMM modeling for multiple time series. The emission distribution can be mixtures of Gammas, Poissons, Normals and zero inflation is possible.
License: GPL (>= 3)
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Depends: BayesLogit, msm, MCMCpack, MASS
URL: http://iamrandom.com/nhmm-package
Packaged: 2014-11-25 23:46:41 UTC; iamrandom
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-11-26 08:06:49
Package: Surrogate
Type: Package
Title: Evaluation of Surrogate Endpoints in Clinical Trials
Version: 0.1-73
Date: 2016-05-16
Author: Wim Van der Elst, Paul Meyvisch, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's 7-th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Depends: MASS, msm
Imports: rgl, lattice, latticeExtra, survival, nlme, lme4, OrdinalLogisticBiplot, logistf, rms, mixtools
License: GPL (>= 2)
BugReports: Wim Van der Elst <Wim.vanderelst@gmail.com>
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-05-16 07:14:28 UTC; WimVDE
Date/Publication: 2016-05-16 14:33:06
Package: eiPack
Type: Package
Version: 0.1-7
Date: 2012-01-11
Title: eiPack: Ecological Inference and Higher-Dimension Data
Management
Author: Olivia Lau <olivia.lau@post.harvard.edu>, Ryan T. Moore
<rtm@wustl.edu>, Michael Kellermann <kellerm@post.harvard.edu>
Maintainer: Olivia Lau <olivia.lau@post.harvard.edu>
Depends: R (>= 2.0.0), MASS, coda, msm
Description: Provides methods for analyzing RxC ecological contingency
tables using the extreme case analysis, ecological regression,
and Multinomial-Dirichlet ecological inference models. Also
provides tools for manipulating higher-dimension data objects.
License: GPL (>= 2)
URL: http://www.olivialau.org/software
Packaged: 2012-01-11 18:14:33 UTC; olau
Repository: CRAN
Date/Publication: 2012-01-13 08:11:42
Package: BVS
Type: Package
Title: Bayesian Variant Selection: Bayesian Model Uncertainty
Techniques for Genetic Association Studies
Author: Melanie Quintana <maw27.wilson@gmail.com>
Maintainer: Melanie Quintana <maw27.wilson@gmail.com>
Description: The functions in this package focus on analyzing
case-control association studies involving a group of genetic
variants. In particular, we are interested in modeling the
outcome variable as a function of a multivariate genetic
profile using Bayesian model uncertainty and variable selection
techniques. The package incorporates functions to analyze data
sets involving common variants as well as extensions to model
rare variants via the Bayesian Risk Index (BRI) as well as
haplotypes. Finally, the package also allows the incorporation
of external biological information to inform the marginal
inclusion probabilities via the iBMU.
Version: 4.12.1
License: Unlimited
Depends: MASS, msm, haplo.stats, R (>= 2.14.0)
Packaged: 2012-08-09 16:25:49 UTC; maw27
Repository: CRAN
Date/Publication: 2012-08-09 17:07:48
Package: Biograph
Type: Package
Title: Explore Life Histories
Version: 2.0.6
Depends: R (>= 3.0.0)
Imports:
mvna,etm,msm,Epi,lubridate,reshape,plyr,survival,mstate,ggplot2,
grDevices,graphics,stats
Date: 2016-03-31
Author: Frans Willekens
Maintainer: Frans Willekens <willekens@nidi.nl>
Description: Transition rates are computed from transitions and exposures.Useful graphics and life-course indicators are computed. The package structures the data for multistate statistical and demographic modeling of life histories.
License: GPL-2
LazyLoad: yes
Packaged: 2016-03-30 21:46:05 UTC; frans
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-31 17:50:43
Package: CEoptim
Type: Package
Title: Cross-Entropy R Package for Optimization
Version: 1.1
Date: 2015-08-22
Author: Tim Benham and Qibin Duan and Dirk P. Kroese and Benoit Liquet
Maintainer: Benoit Liquet <b.liquet@uq.edu.au>
Depends: MASS, msm, stats, sna
Description: Optimization solver based on the Cross-Entropy method.
License: GPL (>= 2.0)
NeedsCompilation: no
Packaged: 2015-08-22 10:21:36 UTC; liquetwe
Repository: CRAN
Date/Publication: 2015-08-22 14:57:23
Package: hysteresis
Title: Tools for Modeling Rate-Dependent Hysteretic Processes and
Ellipses
Version: 2.5
Date: 2015-01-22
Author: Spencer Maynes, Fan Yang, and Anne Parkhurst
Maintainer: Anne Parkhurst <aparkhurst@unl.edu>
Depends: car, msm, MASS
Suggests: knitr
VignetteBuilder: knitr
Description: Fit, summarize and plot sinusoidal hysteretic processes using:
two-step simple harmonic least squares, ellipse-specific non-linear least
squares, the direct method, geometric least squares or linear least squares.
License: GPL (>= 2)
Packaged: 2015-01-23 01:52:44 UTC; Owner
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-01-23 08:39:15
providing 
.