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greta (version 0.4.3)

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

133

Version

0.4.3

License

Apache License 2.0

Maintainer

Nicholas Tierney

Last Published

September 8th, 2022

Functions in greta (0.4.3)

Greta Situation Report

probability distributions

extract-replace-combine

extract, replace and combine greta arrays

define joint distributions

functions for greta arrays

greta model objects

convert other objects to greta arrays

greta: simple and scalable statistical modelling in R

transformation functions for greta arrays

create greta variables

optimisation methods

Functions overloaded by greta

calculate greta arrays given fixed values

arithmetic, logical and relational operators for greta arrays

define a distribution over data

mixtures of probability distributions

simulate.greta_model

Simulate Responses From greta_model Object

internal greta methods

install_greta_deps

Install Python dependencies for greta

Cholesky Factor to Symmetric Matrix

greta_notes_install_miniconda_output

Retrieve python installation or error details

Objects exported from other packages

Helpers to remove, and reinstall python environments and miniconda

create data greta arrays

statistical inference on greta models