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greta (version 0.4.1)

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<80><99>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

723

Version

0.4.1

License

Apache License 2.0

Maintainer

Nicholas Tierney

Last Published

March 15th, 2022

Functions in greta (0.4.1)

extract-replace-combine

extract, replace and combine greta arrays

greta: simple and scalable statistical modelling in R

define a distribution over data

statistical inference on greta models

convert other objects to greta arrays

Cholesky Factor to Symmetric Matrix

functions for greta arrays

Greta Situation Report

probability distributions

Objects exported from other packages

greta model objects

Helpers to remove, and reinstall python environments and miniconda

internal greta methods

create data greta arrays

install_greta_deps

Install Python dependencies for greta

greta_notes_install_miniconda_output

Retrieve python installation or error details These functions retrieve installation or error information output by python when running install_miniconda(), conda_create(), conda_install(), or when encountering a TensorFlow numerical problem.

define joint distributions

transformation functions for greta arrays

mixtures of probability distributions

create greta variables

calculate greta arrays given fixed values

arithmetic, logical and relational operators for greta arrays

simulate.greta_model

Simulate Responses From greta_model Object

Functions overloaded by greta

optimisation methods