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greta (version 0.4.5)

Simple and Scalable Statistical Modelling in R

Description

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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Version

Install

install.packages('greta')

Monthly Downloads

402

Version

0.4.5

License

Apache License 2.0

Maintainer

Nicholas Tierney

Last Published

March 11th, 2024

Functions in greta (0.4.5)

samplers

MCMC samplers
operators

arithmetic, logical and relational operators for greta arrays
joint

define joint distributions
structures

create data greta arrays
greta_notes_install_miniconda_output

Retrieve python installation or error details.
variable

create greta variables
transforms

transformation functions for greta arrays
simulate.greta_model

Simulate Responses From greta_model Object
greta

greta: simple and scalable statistical modelling in R
functions

functions for greta arrays
distributions

probability distributions
extract-replace-combine

extract, replace and combine greta arrays
model

greta model objects
greta_sitrep

Greta Situation Report
inference

Statistical inference on greta models.
chol2symm

Cholesky Factor to Symmetric Matrix
mixture

mixtures of probability distributions
as_data

convert other objects to greta arrays
calculate

calculate greta arrays given fixed values
reexports

Objects exported from other packages
overloaded

Functions overloaded by greta
optimisers

optimisation methods
install_greta_deps

Install Python dependencies for greta
distribution

define a distribution over data
internals

internal greta methods
reinstallers

Helpers to remove, and reinstall python environments and miniconda