Title: Constrained and Unconstrained Zero-Inflated Generalized Additive Models with Model Selection Criterion
Description: Constrained and Unconstrained Zero-Inflated Generalized Additive Models (ZIGAM) fitting with associated model plotting, prediction and selection.
Packaged: Thu Feb 19 22:16:19 2009; hliu3

Title: Constrained and Unconstrained Zero-Inflated Generalized Additive
Author: Hai Liu <hailau@gmail.com>, Kung-Sik Chan
Description: Constrained and Unconstrained Zero-Inflated Generalized
Additive Models (ZIGAM) fitting with associated model plotting,

Author: Hai Liu <liuhai@iupui.edu>, Kung-Sik Chan

person("Guillaume", "Cleuziou", email = "guillaume.cleuziou@univ-orleans.fr", role = "cre"),
person("Nicolas", "Hiot", email = "nicolas.hiot@etu.univ-orleans.fr", role = "aut"))
Description: Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms:
OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ;
NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ;
Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.

Description: Functions for calculating the conditional power
for different models in survival time analysis
with two different treatments to be compared
Packaged: 2014-10-13 07:35:22 UTC; akuehnapfel

Packaged: 2016-06-28 09:17:30 UTC; akuehnapfel

Authors@R: person("Curtis", "Miller", email = "cmiller@math.utah.edu", role = c("aut", "cre"))
Description: Implements several statistical tests for structural change, specifically the tests featured in Horváth, Rice and Miller (in press): CUSUM (with weighted/trimmed variants), Darling-Erdös, Hidalgo-Seo, Andrews, and the new Rényi-type test.
Suggests: cointReg (>= 0.2), foreach (>= 1.4), doRNG (>= 1.7),
Imports: stats (>= 3.2), utils (>= 3.2), grDevices (>= 3.2), Rdpack (>=

Title: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
Author: Arunabha Majumdar <statgen.arunabha@gmail.com> [aut, cre],
Description: A Bayesian meta-analysis method for studying cross-phenotype
genetic associations. It uses summary-level data across multiple phenotypes to
simultaneously measure the evidence of aggregate-level pleiotropic association and
estimate an optimal subset of traits associated with the risk locus. CPBayes is based
on a spike and slab prior and is implemented by Markov chain Monte Carlo technique Gibbs sampling.