greta - Simple and 'Scalable' Statistical Modelling in R
Write statistical models in R and fit them by MCMC and optimisation on 'CPUs' and 'GPUs', using Google 'TensorFlow'. 'greta' lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the 'greta' forum.
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10.85 score 601 stars 4 dependents 516 scripts 79 downloadsgreta.gp - Gaussian Process Modelling in 'greta'
Provides a syntax to create and combine Gaussian process kernels in 'greta'. You can then them to define either full rank or sparse Gaussian processes. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.
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5.23 score 19 stars 45 scripts 57 downloadsgreta.dynamics - Modelling Structured Dynamical Systems in 'greta'
A 'greta' extension for analysing transition matrices and ordinary differential equations representing dynamical systems. Provides functions for analysing transition matrices by iteration, and solving ordinary differential equations. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.
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4.33 score 6 stars 18 scripts 58 downloadsgreta.gam - Generalised Additive Models in 'greta' using 'mgcv'
A 'greta' (Golding (2019) <doi:10.21105/joss.01601>) module that lets you use 'mgcv' smoother functions and formula syntax to define smooth terms for use in a 'greta' model. You can then define your own likelihood to complete the model, and fit it by Markov Chain Monte Carlo (MCMC).
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3.34 score 11 stars 6 scripts 4 downloadsgreta.hmm - Hidden Markov Modelling in greta
Extends greta by providing functionality for fitting Hidden Markov Models (HMMs).
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2.48 score 3 stars 1 scripts