Title: Synergy/Antagonism Analyses of Drug Combinations
Description: A comprehensive synergy/antagonism  analyses of drug combinations with
quality graphics and data. The analyses can be performed by Bliss independence and Loewe
additivity models. COMBIA provides improved statistical analysis and makes only very weak assumption of data variability
while calculating bootstrap intervals (BIs). Finally, package saves analyzed data,
2D and 3D plots ready to  use in research publications. COMBIA does not require manual
data entry. Data can be directly input from wetlab experimental platforms
for example fluostar, automated robots etc. One needs to call a single function only
to perform all analysis (examples are provided with sample data).
Depends: hash, gdata, lattice, latticeExtra, oro.nifti

Description: A comprehensive synergy/antagonism analyses of drug combinations with
quality graphics and data. The analyses can be performed by Bliss
independence and Loewe additivity models. 'COMBIA' provides improved
statistical analysis and makes only very weak assumption of data
variability while calculating bootstrap intervals (BIs). It is based
on heteroscedasticity controlled resampling (bootstrapping) and includes
a global (omnibus) test. Finally, package saves analyzed data, 2D and 3D
plots ready to use in research publications. 'COMBIA' does not require manual
data entry. Data can be directly input from wetlab experimental platforms for
example fluostar, automated robots etc. One only needs to call a single function,
analyzeCOMBO(), to perform all analysis (examples are provided with sample data).
Depends: hash, lattice, latticeExtra, oro.nifti

a global (omnibus) test. Finally, package shows analyzed data, 2D and 3D
data entry. Data can be directly input from wet lab experimental platforms for

Title: Coarsened Mixtures of Hierarchical Skew Kernels
Authors@R: c(person("S.", "Gorsky", role = c("aut", "cre"),
Description: Bayesian fit of a Dirichlet Process Mixture with hierarchical multivariate skew normal kernels and coarsened posteriors. For more information, see Gorsky, Chan and Ma (2020) <arXiv:2001.06451>.