Package: gammSlice
Type: Package
Title: Generalized additive mixed model analysis via slice sampling
Version: 1.3
Date: 2015-01-21
Author: Tung Pham and Matt Wand
Maintainer: Tung Pham <pham.t@unimelb.edu.au>
Description: Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
mixed models (GAMM). Generalized linear mixed models and
generalized additive models are also handled as special cases
of GAMM.
Depends: R (>= 2.13), KernSmooth, lattice, mgcv
License: GPL (>= 2)
Packaged: 2015-01-21 06:46:35 UTC; tungp
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-01-21 08:24:52
Package: mpmi
Type: Package
Title: Mixed-pair mutual information estimators
Version: 0.41
Date: 2014-22-09
Author: Chris Pardy
Maintainer: Chris Pardy <cooliomcdude@gmail.com>
Description: Uses a kernel smoothing approach to calculate Mutual Information
for comparisons between all types of variables including continuous vs
continuous, continuous vs discrete and discrete vs discrete. Uses a
nonparametric bias correction giving Bias Corrected Mutual Information
(BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to
large genomic datasets.
License: GPL-3
URL: http://r-forge.r-project.org/projects/mpmi/
Depends: KernSmooth
Packaged: 2014-09-22 03:35:34 UTC; cp
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-09-22 07:59:19
Package: DiagTest3Grp
Type: Package
Title: Diagnostic test summary measures for three ordinal groups
Version: 1.6
Date: 2014-02-20
Author: Jingqin Luo, Chengjie Xiong
Maintainer: Jingqin Luo<rosy@wubios.wustl.edu>
Description: The R package provides utilities to estimate and make inference on two summary measures for diagnostic tests when there are three ordinal groups ----volume under ROC surface (VUS) and the extended Youden index, assuming that diagnostic markers increase monotonically and stochastically with disease severity. Point estimates, variance, confidence interval and optimal cut-points both under the normal assumption and also the non-parametric method(s) will be provided for the summary measures. Statistical tests are implemented to compare multiple diagnostic tests and two diagnostic test. Sample size is calculated to estimate the summary measures within a user-specified margin of error for future study planning.
License: GPL (>= 2.0)
Depends: car, KernSmooth, stats, gplots
LazyLoad: yes
Packaged: 2014-02-20 21:20:09 UTC; rosy
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-02-20 22:40:48
Package: GoFKernel
Type: Package
Title: Testing Goodness-of-Fit with the Kernel Density Estimator
Version: 2.1-0
Date: 2016-01-04
Author: Jose M. Pavia
Maintainer: Jose M. Pavia <Jose.M.Pavia@uv.es>
Description: Tests of goodness-of-fit based on a kernel smoothing of the data.
Depends: stats, KernSmooth
License: GPL
Packaged: 2016-01-04 20:52:39 UTC; Jose Manuel
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-04 22:14:42
providing 
.