Normalized Power Prior Bayesian Analysis
Posterior sampling in several commonly used distributions using
normalized power prior as described in
Duan, Ye and Smith (2006) <doi:10.1002/env.752> and
Ibrahim et.al. (2015) <doi:10.1002/sim.6728>.
Sampling of the power parameter is achieved via
either independence Metropolis-Hastings or random walk Metropolis-Hastings
based on transformation.

Ashish Sharma [aut], Raj Mehrotra [aut], Sanjeev Jha [aut], Jingwan Li [aut],
Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
Partial informational correlation (PIC) is used to identify the meaningful predictors to the response from a large set of potential predictors. Details of Methodoligies used in the package can be found in Sharma, A., Mehrotra, R. (2014) <doi:10.1002/2013WR013845>, Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). <doi:10.1016/j.envsoft.2016.05.021>, and Mehrotra, R., & Sharma, A. (2006). <doi:10.1016/j.advwatres.2005.08.007>.
zoo, SPEI, knitr, ggplot2, testthat, bookdown, rmarkdown

c(person(given = "Ashish",
family = "Sharma",
role = c("aut"),
comment = c(ORCID = "0000-0002-6758-0519")),
person(given = "Raj",
family = "Mehrotra",
role = c("aut")),
person(given = "Sanjeev",
family = "Jha",
role = c("aut")),
person(given = "Jingwan",
family = "Li",
role = c("aut")),
person(given = "Ze",
family = "Jiang",
role = c("aut", "cre"),
email = "ze.jiang@unsw.edu.au",
comment = c(ORCID = "0000-0002-3472-0829")))
Ashish Sharma [aut] (<https://orcid.org/0000-0002-6758-0519>),
Raj Mehrotra [aut],
Sanjeev Jha [aut],
Jingwan Li [aut],
Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
Partial informational correlation (PIC) is used to identify the meaningful predictors to the response from a large set of potential predictors. Details of methodologies used in the package can be found in Sharma, A., Mehrotra, R. (2014). <doi:10.1002/2013WR013845>, Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). <doi:10.1016/j.envsoft.2016.05.021>, and Mehrotra, R., & Sharma, A. (2006). <doi:10.1016/j.advwatres.2005.08.007>.
zoo, SPEI, WASP, knitr, ggplot2, synthesis, testthat,
bookdown, rmarkdown