Encoding and decoding of multi-trial data with log-linear additive models. Decoupling of deterministic features of a non-stochastic error term for variable influence. A focus on coupling and synchrony. Examination of workflow strategies for model specification, estimation, and evaluation. This is both a R package for CRAN and works with the Neural Maestro Application.