Simple and Scalable Statistical Modelling in R
convert other objects to greta arrays
calculate greta arrays given fixed values
Cholesky Factor to Symmetric Matrix
define a distribution over data
probability distributions
extract, replace and combine greta arrays
functions for greta arrays
greta: simple and scalable statistical modelling in R
Greta Situation Report
Statistical inference on greta models.
Install Python dependencies for greta
internal greta methods
define joint distributions
mixtures of probability distributions
greta model objects
arithmetic, logical and relational operators for greta arrays
optimisation methods
Functions overloaded by greta
Objects exported from other packages
Helpers to remove, and reinstall python environments and miniconda
MCMC samplers
Simulate Responses From greta_model Object
Retrieve python installation or error details.
create data greta arrays
transformation functions for greta arrays
create greta variables
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.