Simple and Scalable Statistical Modelling in R

Documentation for package ‘greta’ version 0.4.5

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

greta: simple and scalable statistical modelling in R

-- 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.
greta_notes_conda_create_output	Retrieve python installation or error details.
greta_notes_conda_install_error	Retrieve python installation or error details.
greta_notes_conda_install_output	Retrieve python installation or error details.
greta_notes_install_miniconda_error	Retrieve python installation or error details.
greta_notes_install_miniconda_output	Retrieve python installation or error details.
greta_notes_tf_num_error	Retrieve python installation or error details.
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_deps	Install Python dependencies for greta
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.
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