Multivariate Ordinal Regression Models (mvord)
A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods.

RE2 Regular Expression (re2r)
RE2 <https://…/re2> is a primarily deterministic finite automaton based regular expression engine from Google that is very fast at matching large amounts of text.

Directory of Open Access Journals Client (jaod)
Client for the Directory of Open Access Journals (‘DOAJ’) (<https://doaj.org/> ). ‘API’ documentation at <https://…/docs>. Methods included for working with all ‘DOAJ’ ‘API’ routes: fetch article information by identifier, search for articles, fetch journal information by identifier, and search for journals.

Calculating Data Agreement Criterion Scores to Rank Experts Based on Their Beliefs (DAC)
Allows to calculate Data Agreement Criterion (DAC) scores. This can be done to determine prior-data conflict or to evaluate and compare multiple priors, which can be experts’ predictions. Bousquet (2008) <doi.org/10.1080/02664760802192981>.

Adaptive Sampling Algorithms (AdapSamp)
For distributions whose probability density functions are log-concave, Adaptive Rejection Sampling (ARS) algorithm can be used to build for sampling by Gilks W R, Wild P (1992) <doi:10.2307/2347565>. For others, we can use Modifed Adaptive Rejection Sampling (MARS) algorithm by Martino L, Míguez J (2011) <doi:10.1007/s11222-010-9197-9>, Concave-Convex Adaptive Rejection (CCARS) Sampling algorithm by Görür D, Teh Y W (2011) <doi:10.1198/jcgs.2011.09058> and Adaptive Slice Sampling (ASS) algorithm by Radford M. Neal (2003) <doi:10.1214/aos/1056562461>. So we designed an R package including mainly 4 functions: rARS(), rMARS(), rCCARS(), and rASS(). These functions can realize sampling based on the algorithms above.

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