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dgtf

Variational and MCMC inference for Bayesian state-space models of count data.

dgtf provides a unified R interface to variational Bayes and MCMC for a general class of dynamic generalized transfer function models for count data.

Installation

1. Clone the repository from a terminal.

git clone git@github.com:minimeini/dgtf.git

2. Change into the repository with cd dgtf.
3. Install the R package.
   • In terminal: R CMD INSTALL .
   • Or in R: devtools::install(".")

System requirements

• C++17 compiler
• LAPACK and BLAS, both provided by R

The current release builds without OpenMP, so the parallel sections of the sequential Monte Carlo filter are evaluated serially, and no OpenMP runtime or omp.h header is needed.

R package dependencies

• LinkingTo: Rcpp, RcppArmadillo, BH, RcppProgress, pg.
• Imports: Rcpp, ggplot2 (plus base stats, utils, graphics, and grDevices).

License

MIT (see LICENSE).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.