Software for the analysis and visualization of deep mutational scanning data:
http://jbloomlab.github.io/dms_tools/
Sequential Monte Carlo Approximate Bayesian Computation with Partial Least Squares parameter estimator:
https://github.com/tjhladish/AbcSmc
pomp: statistical inference for partially-observed Markov processes
pomp provides a very general realization of nonlinear partially-observed Markov processes (AKA nonlinear stochastic dynamical systems). These are a generalization of linear state-space and hidden Markov models to nonlinear, non-Gaussian processes in either discrete or continuous time.
phydms
Software for phylogenetics using deep mutational scanning:
http://jbloomlab.github.io/phydms/
R package for statistical inference on panel partially observed Markov processes (alpha release version).
https://github.com/cbreto/panelPomp
Tractable fitting of stochastic epidemic models via Bayesian data augmentation
https://github.com/fintzij/BDAepimodel
Facilitate phylodynamic inference and analysis in an approachable R package.
https://github.com/mdkarcher/phylodyn
Estimating unsampled viral diversity
https://github.com/blab/unsampled
A specialized surrogate function for phylogenetic likelihoods.
https://github.com/matsengrp/lcfit