person("Adam", "Rawles", email = "adamrawles@hotmail.co.uk", role = c("aut", "cre"))
A set of wrapper functions to better interact with the 'Balancing Mechanism
Reporting System API'.
httr, xml2, stringr, tibble, readr, methods
covr, knitr, rmarkdown, ggplot2, dplyr, tidyr, testthat

A set of wrapper functions to better interact with the 'Balancing Mechanism
Reporting System API' (<https://bmreports.com/>).
httr, xml2, stringr, tibble, readr, methods, purrr, dplyr,
rlang
covr, knitr, rmarkdown, ggplot2, tidyr, testthat

Bayesian Models for Rare Variant Association Analysis
Provides two Bayesian models for detecting the association between rare variants and traits that can be continuous, ordinal or binary. Bayesian latent variable collapsing model (BLVCM) detects interaction effect and is dedicated to twin design while it can also be applied to independent samples. Hierarchical Bayesian multiple regression model (HBMR) incorporates genotype uncertainty information and can be applied to either independent or family samples. Furthermore, it deals with continuous, binary and ordinal traits.

Provides two Bayesian models for detecting the association between rare genetic variants and a trait that can be continuous, ordinal or binary. Bayesian latent variable collapsing model (BLVCM) detects interaction effect and is dedicated to twin design while it can also be applied to independent samples. Hierarchical Bayesian multiple regression model (HBMR) incorporates genotype uncertainty information and can be applied to either independent or family samples. Furthermore, it deals with continuous, binary and ordinal traits.

Bayesian Model Averaging for univariate linear models
under Zellner's g prior. Options include: fixed (BRIC, UIP,
...) and flexible g priors (Empirical Bayes, hyper-g), 5 kinds
of model prior concepts, and model sampling via model
enumeration or MCMC samplers (Metropolis-Hastings plain or
reversible jump). Post-processing allows for inference
according to different concepts (likelihood vs MCMC-based) and
for plotting (posterior model size and coefficient densities,
best models, model convergence, BMA comparison).