OVVO-Financial/NNS

R package np (Nonparametric Kernel Smoothing Methods for Mixed Data Types)

DoubleML - Double Machine Learning in R

Empirical Dynamic Modeling

🌌 The R easystats-project

Build dirichletprocess objects for data analysis

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

DoubleML - Double Machine Learning in Python

nlmixr2

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference