# CPBayes 1.1.0

Fifth version of CPBayes R-package

## New features

None.

## Bug fixes and minor
improvements

The default choices of the burn in period and the MCMC sample size
are modified. Computational runtime is reduced significantly.

# CPBayes 1.0.0

Fourth version of CPBayes R-package

## New features

Two new functions are introduced to analytically compute the local
false discovery rate (locFDR) & Bayes factor (BF) that quantifies
the evidence of aggregate-level pleiotropic association for uncorrelated
and correlated summary statistics.

## Bug fixes and minor
improvements

Instead of locFDR and optimal subset of non-null traits, the
cpbayes_uncor() and cpbayes_cor() functions now print a list of
important traits underlying an overall pleiotropic association.

# CPBayes 0.3.0

Third version of CPBayes R-package

## New features

An empirical Bayes approach to choose the hyper-parameters in the
prior distribution of proportion of non-null traits is included in the
Bayesian statistical framework underlying the meta-analysis method.

## Bug fixes and minor
improvements

An additional argument is included in the forest_cpbayes() function
that allows to plot a subset of selected traits having the
trait-specific posterior probability of association above a specified
threshold.

Instead of the Bayes factor, the cpbayes_uncor() and cpbayes_cor()
functions now print the local false discovery rate (locFDR) as the
primary measure of overall pleiotropic association.

# CPBayes 0.2.0

Second version of CPBayes R-package

## New features

New forest_cpbayes() function to make a forest plot that provides a
graphical presentation of the pleiotropy results obtained by
CPBayes.

## Bug fixes and minor
improvements

In the cpbayes_uncor() and cpbayes_cor() functions, we have renamed
the argument `UpdateDE' as`

UpdateSlabVar’ (which is an
abbreviation of Update Slab Variance).

New arguments option included in the cpbayes_uncor() and
cpbayes_cor() functions. An user can now specify the minimum and maximum
value of the slab variance parameter through the ‘MinSlabVar’ and
‘MaxSlabVar’ arguments.

In the previous version, the row names and column names of the
correlation matrix of the beta hat vector in the cpbayes_cor() function
had to be the same to pass the symmetricity checking. Now it is
rectified and the row names and column names of the correlation matrix
can be different.

# CPBayes 0.1.0

First version of CPBayes R-package.