Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.

Francis K.C. Hui <fhui28@gmail.com>, with contributions from Wade Blanchard <wade.blanchard@anu.edu.au>

Francis K.C. Hui <fhui28@gmail.com>, with contributions from Wafe Blanchard <wade.blanchard@anu.edu.au>

abind, corpcor, fishMod, graphics, grDevices, MASS, mvtnorm,
R2jags, reshape2, stats

Francis K.C. Hui [aut, cre],
Wade Blanchard [aut]
abind, corpcor, fishMod, graphics, grDevices, lifecycle, MASS,
mvtnorm, R2jags, reshape2, stats

Estimate Causal Effects with Borrowing Between Data Sources
Jeffrey A. Boatman [aut, cre],
David M. Vock [aut],
Joseph S. Koopmeiners [aut]
Estimate population average treatment effects from a primary data source
with borrowing from supplemental sources. Causal estimation is done with either a
Bayesian linear model or with Bayesian additive regression trees (BART) to adjust
for confounding. Borrowing is done with multisource exchangeability models (MEMs). For
information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>.
For information on MEMs, see Kaizer, Koopmeiners, &
Hobbs (2018) <doi10.1093/biostatistics/kxx031>.

Estimate population average treatment effects from a primary data source
with borrowing from supplemental sources. Causal estimation is done with either a
Bayesian linear model or with Bayesian additive regression trees (BART) to adjust
for confounding. Borrowing is done with multisource exchangeability models (MEMs). For
information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>.
For information on MEMs, see Kaizer, Koopmeiners, &
Hobbs (2018) <doi:10.1093/biostatistics/kxx031>.