maximum-likelihood
Survival analysis in Python
Comparative Genomics Toolkit 3
Ancestral character reconstruction and visualisation for rooted phylogenetic trees
Fast Weight of Evidence (WOE) Encoding and Inference
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Integrated pipeline for ML phylogenetic inference from ABI trace and FASTA data
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Provide the automatic differentiation for Likelihood maximization routine
Symbolic Likelihood Models for Statistical Inference - MLE, standard errors, confidence intervals, hypothesis tests with automatic differentiation
A Python toolkit for DSGE modeling: parse model files, solve linear and nonlinear systems, run simulation and estimation workflows, and perform policy/welfare analysis.
