# Simple and Scalable Statistical Modelling in R

## Documentation for package ‘greta’ version 0.4.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A B C D E F G H I J L M N O P R S T U V W Z misc

## -- A --

abind | Functions overloaded by greta
adadelta | optimisation methods
adagrad | optimisation methods
adagrad_da | optimisation methods
adam | optimisation methods
apply | Functions overloaded by greta
as_data | convert other objects to greta arrays

## -- B --

backsolve | Functions overloaded by greta
bernoulli | probability distributions
beta | probability distributions
beta_binomial | probability distributions
bfgs | optimisation methods
binomial | probability distributions

## -- C --

c | extract, replace and combine greta arrays
calculate | calculate greta arrays given fixed values
categorical | probability distributions
cauchy | probability distributions
cbind | extract, replace and combine greta arrays
cg | optimisation methods
chi_squared | probability distributions
chol2inv | Functions overloaded by greta
chol2symm | Cholesky Factor to Symmetric Matrix
cholesky_variable | create greta variables
cobyla | optimisation methods
colMeans | Functions overloaded by greta
colSums | Functions overloaded by greta
cov2cor | Functions overloaded by greta

## -- D --

diag | Functions overloaded by greta
dirichlet | probability distributions
dirichlet_multinomial | probability distributions
distribution | define a distribution over data
distribution<- | define a distribution over data
distributions | probability distributions

## -- E --

eigen | Functions overloaded by greta
exponential | probability distributions
extract | extract, replace and combine greta arrays
extract-replace-combine | extract, replace and combine greta arrays
extra_samples | statistical inference on greta models

## -- F --

f | probability distributions
forwardsolve | Functions overloaded by greta
ftrl | optimisation methods
functions | functions for greta arrays

## -- G --

gamma | probability distributions
gradient_descent | optimisation methods
greta | greta: simple and scalable statistical modelling in R
greta_array | create data greta arrays
greta_notes_conda_create_error | 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.
greta_notes_conda_create_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.
greta_notes_conda_install_error | 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.
greta_notes_conda_install_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.
greta_notes_install_miniconda_error | 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.
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.
greta_notes_tf_num_error | 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.
greta_sitrep | Greta Situation Report

## -- H --

hmc | MCMC samplers
hypergeometric | probability distributions

## -- I --

icauchit | transformation functions for greta arrays
icloglog | transformation functions for greta arrays
identity | Functions overloaded by greta
ilogit | transformation functions for greta arrays
imultilogit | transformation functions for greta arrays
inference | statistical inference on greta models
initials | statistical inference on greta models
install_greta_deps | Install Python dependencies for greta
internals | internal greta methods
inverse-links | transformation functions for greta arrays
inverse_gamma | probability distributions
iprobit | transformation functions for greta arrays

## -- J --

joint | define joint distributions

## -- L --

laplace | probability distributions
lkj_correlation | probability distributions
log1pe | transformation functions for greta arrays
logistic | probability distributions
lognormal | probability distributions
l_bfgs_b | optimisation methods

## -- M --

mcmc | statistical inference on greta models
mixture | mixtures of probability distributions
model | greta model objects
momentum | optimisation methods
multinomial | probability distributions
multivariate_normal | probability distributions

## -- N --

negative_binomial | probability distributions
nelder_mead | optimisation methods
newton_cg | optimisation methods
normal | probability distributions

## -- O --

ones | create data greta arrays
operators | arithmetic, logical and relational operators for greta arrays
opt | statistical inference on greta models
optimisers | optimisation methods
ordered_variable | create greta variables
overloaded | Functions overloaded by greta

## -- P --

pareto | probability distributions
plot.greta_model | greta model objects
poisson | probability distributions
powell | optimisation methods
print.greta_model | greta model objects
proximal_adagrad | optimisation methods
proximal_gradient_descent | optimisation methods

## -- R --

rbind | extract, replace and combine greta arrays
rdist | Functions overloaded by greta
reinstallers | Helpers to remove, and reinstall python environments and miniconda
reinstall_greta_env | Helpers to remove, and reinstall python environments and miniconda
reinstall_miniconda | Helpers to remove, and reinstall python environments and miniconda
remove_greta_env | Helpers to remove, and reinstall python environments and miniconda
remove_miniconda | Helpers to remove, and reinstall python environments and miniconda
rep | extract, replace and combine greta arrays
replace | extract, replace and combine greta arrays
rms_prop | optimisation methods
rowMeans | Functions overloaded by greta
rowSums | Functions overloaded by greta
rwmh | MCMC samplers

## -- S --

samplers | MCMC samplers
simplex_variable | create greta variables
simulate.greta_model | Simulate Responses From 'greta_model' Object
slice | MCMC samplers
slsqp | optimisation methods
stash-notes | 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.
stashed_samples | statistical inference on greta models
structures | create data greta arrays
student | probability distributions
sweep | Functions overloaded by greta

## -- T --

tapply | Functions overloaded by greta
tnc | optimisation methods
transforms | transformation functions for greta arrays

## -- U --

uniform | probability distributions

## -- V --

variable | create greta variables

## -- W --

weibull | probability distributions
wishart | probability distributions

## -- Z --

zeros | create data greta arrays

## -- misc --

%*% | Functions overloaded by greta
.internals | internal greta methods