{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
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Updated
Oct 8, 2024 - R
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Flexible Bayesian Optimization in R
Adaptive experimental design for maximizing information gain
The Docker container for MGPfact is primarily used for unsupervised manifold learning of single-cell RNA-seq data and can factorize complex cell trajectories into interpretable branching Gaussian processes.
R Package for modeling omega-reliability coefficient from exogenous or latent space using Gaussian Processes or linear models.
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