Title: Robust Loss Development Using MCMC
Author: Can Wang, Christopher W. Laws, Frank A. Schmid
SystemRequirements: JAGS (>= 4.3.0), GNU make
Description: Bayesian analysis of loss development on insurance triangles or 'BALD' is a Bayesian model of developing aggregate loss triangles in property casualty insurance. This actuarial model makes use of a heteroskedastic and skewed t-likelihood with endogenous degrees of freedom, employs model averaging by means of Reversible Jump MCMC, and accommodates a structural break in the path of the consumption of benefits. Further, the model is capable of incorporating expert information in the calendar year effect. In an accompanying vignette, this model is applied to two widely studied General Liability and Auto Bodily Injury Liability loss triangles. For a description of the methodology, see Frank A. Schmid (2010) <doi:10.2139/ssrn.1501706>.
Depends: R (>= 3.3.0), methods, rjags (>= 3-3), logspline, utils,

Title: Expression RNA-Seq Data Analysis Based on Linear Mixed Model
Description: Analysis of gene expression RNA-seq data using Bartlett-Adjusted Likelihood-based LInear model (BALLI). Based on likelihood ratio test, it provides comparisons for effect of one or more variables. See Kyungtaek Park (2018) <doi:10.1101/344929> for more information.
Depends: R (>= 2.15.0), edgeR, limma, MASS, parallel, stats, methods
Packaged: 2019-04-24 13:21:01 UTC; KyungtaekPark

Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions.
Depends: R (>= 3.2.0), parallel, label.switching, methods

Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2017) <arXiv:1708.07804> .

Imports: stats, graphics, lattice, grDevices, Rcpp, tcltk, rootSolve,
qrng, mvtnorm, gtools, parallel, label.switching, methods,
coda, future.apply, future, loo (>= 2.0.0), RColorBrewer,

coda, future.apply, loo (>= 2.0.0), RColorBrewer,

coda, future.apply, loo (>= 2.1.0), RColorBrewer,