Description: Provides weighted versions of several metrics, scoring
functions and performance measures used in machine learning, including
average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma
distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The
Suggests: knitr, dplyr, graphics, rmarkdown

Suggests: knitr, dplyr, rmarkdown, testthat

Suggests: knitr, dplyr, rmarkdown, testthat (>= 3.0.0)

Title: Multivariate-from-Univariate (MfU) MCMC Sampler
Description: Convenience functions for multivariate MCMC using univariate samplers, including slice sampler with stepout and shrinkage (Neal, 2003), and adaptive rejection sampler (Gilks and Wild, 1992).

Description: Convenience Functions for Multivariate MCMC Using Univariate Samplers, including Slice Sampler with Stepout and Shrinkage (Neal, 2003), and Adaptive Rejection Sampler (Gilks and Wild, 1992).

Description: Convenience functions for multivariate MCMC using univariate samplers including:
slice sampler with stepout and shrinkage (Neal, 2003),
adaptive rejection sampler (Gilks and Wild, 1992),
adaptive rejection Metropolis (Gilks et al 1995), and
univariate Metropolis with Gaussian proposal.
Suggests: sns, RcppArmadillo, inline, mvtnorm

slice sampler with stepout and shrinkage (Neal (2003) <DOI:10.1214/aos/1056562461>),
adaptive rejection sampler (Gilks and Wild (1992) <DOI:10.2307/2347565>),
adaptive rejection Metropolis (Gilks et al (1995) <DOI:10.2307/2986138>), and

Title: A Model-based Approach to Identify Binding Sites in CLIP-Seq
Description: Cross-linking immunoprecipitation coupled with
high-throughput sequencing (CLIP-Seq) has made it possible to
identify targeting sites of RNA-binding proteins in various
cell culture systems and tissue types on a genome-wide scale.
Here we present MiClip,a novel model-based approach to identify
high-confidence protein-RNA binding sites in CLIP-Seq datasets.
This approach assigns confidence value to each binding site on
a probabilistic basis. The MiClip package can be flexibly
applied to analyze both HITS-CLIP data and PAR-CLIP data.