It estimate the boundaries in an image adaptively to the smoothness
level of the boundary.The method is applicable to images with binary noise,
Gaussian noise or Poisson noise.

Provides tools for carrying out a Bayesian analysis of image boundaries.  Functions are provided
for both binary (Bernoulli) and continuous (Gaussian) images.  Examples, along with an interactive shiny function
illustrate how to perform simulations, analyze custom data, and plot estimates and credible intervals.

Rcpp (>= 0.12.5), shiny, mritc, png, jpeg

Bayesian Estimation of Bivariate Volatility Model
Achal Lama, Girish K Jha, K N Singh and Bishal Gurung
The Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) models are used for modelling the volatile multivariate data sets. In this package a variant of MGARCH called BEKK (Baba, Engle, Kraft, Kroner) proposed by Engle and Kroner (1995) <http://www.jstor.org/stable/3532933> has been used to estimate the bivariate time series data using Bayesian technique.

Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Smoothed lexis diagrams with Bayesian method specifically tailored to cancer
incidence data. Providing to calculating slope and constructing credible interval.
LC Chien et al. (2015) <doi:10.1080/01621459.2015.1042106>.
LH Chien et al. (2017) <doi:10.1002/cam4.1102>.

Bayesian Estimation of Mixtures of Multivariate Bernoulli
Distributions
Fully Bayesian inference for estimating the number of clusters and related parameters to heterogeneous binary data.

Nicholas G. Polson, James G. Scott, and Jesse Windle
This package implements Bayesian bridge regression.

Nicolas G. Polson, James G. Scott, and Jesse Windle

c(person(given = "Jinhui",
family = "Yang",
role = c("aut", "cre"),
email = "james.yangjinhui@gmail.com",
comment = c(ORCID = "0000-0001-8322-1121")),
person(given = "Jincheng",
family = "Zhou",
role = "aut",
comment = c(ORCID = "0000-0003-2641-2495")),
person(given = "James",
family = "Hodges",
role = "ctb"),
person(given = "Haitao",
family = "Chu",
role = "ctb",
comment = c(ORCID = "0000-0003-0932-598X"))
)
coda, Rdpack, grDevices, MASS, mvtnorm, forestplot, metafor,
lme4
Performs Complier Average Causal Effect analysis on either a single study or meta-analysis of datasets with binary outcomes using the Bayesian methods proposed in Zhou et al. (2019) <doi:10.1111/biom.13028> and Zhou et al. (2021) <doi:10.1080/01621459.2021.1900859>.
Jinhui Yang [aut, cre] (<https://orcid.org/0000-0001-8322-1121>),
Jincheng Zhou [aut] (<https://orcid.org/0000-0003-2641-2495>),
James Hodges [ctb],
Haitao Chu [ctb] (<https://orcid.org/0000-0003-0932-598X>)