Package index • greta

creating greta arrays

Create greta arrays representing observed data or fixed values

Create variables and assign probability distributions over greta arrays

variable() cholesky_variable() simplex_variable() ordered_variable(): create greta variables
uniform() normal() lognormal() bernoulli() binomial() beta_binomial() negative_binomial() hypergeometric() poisson() gamma() inverse_gamma() weibull() exponential() pareto() student() laplace() beta() cauchy() chi_squared() logistic() f() multivariate_normal() wishart() lkj_correlation() multinomial() categorical() dirichlet() dirichlet_multinomial(): probability distributions
`distribution<-`() distribution(): define a distribution over data
mixture(): mixtures of probability distributions
joint(): define joint distributions

Functions and operations for modifying greta arrays

operators: arithmetic, logical and relational operators for greta arrays
functions: functions for greta arrays
extract-replace-combine extract replace cbind rbind c rep: extract, replace and combine greta arrays
iprobit() ilogit() icloglog() icauchit() log1pe() imultilogit(): transformation functions for greta arrays
`%*%` chol2inv() cov2cor() identity() colMeans() rowMeans() colSums() rowSums() sweep() outer() `%o%` backsolve() forwardsolve() apply() tapply() eigen() rdist() abind() diag(): Functions overloaded by greta

Define and visualise models and fit them to data

model() print(<greta_model>) plot(<greta_model>): greta model objects
mcmc() stashed_samples() extra_samples() initials() opt(): Statistical inference on greta models.
calculate(): calculate greta arrays given fixed values
hmc() rwmh() slice(): MCMC samplers
nelder_mead() bfgs() powell() momentum() cg() newton_cg() l_bfgs_b() tnc() cobyla() slsqp() gradient_descent() adadelta() adagrad() adagrad_da() adam() adamax() ftrl() proximal_gradient_descent() proximal_adagrad() nadam() rms_prop(): optimisation methods

Write R packages that extend or use greta

Misc functions to sort through later

greta-package greta: greta: simple and scalable statistical modelling in R
greta_notes_tf_num_error(): Retrieve python messages.
run_optimiser(): Dispatch optimisation method to right class
simulate(<greta_model>): Simulate Responses From greta_model Object
gpu_only() cpu_only(): Set GPU or CPU usage
chol2symm(): Cholesky Factor to Symmetric Matrix
chol(<greta_array>): Compute the Cholesky Factor of a Matrix
as.greta_model(): Convert object to a "greta_model" object
as.unknowns(): Create objects of class 'unknowns' to nicely print ? valued arrays
`dim<-`(<unknowns>): set dims like on a matrix/array
dim(<node>): generic to grab dimensions of nodes
is.greta_mcmc_list(): Is object a greta_mcmc_list?
print(<greta_deps_spec>): Print method for greta python deps
is.greta_array(): Is object a greta array?
print(<greta_mcmc_list>): Print method for greta MCMC list

Functions for managing installation of dependencies

greta_remove(): Remove greta's Python dependencies
greta_create_conda_env(): Create conda environment for greta
greta_deps_receipt(): Capture greta python dependencies.
greta_deps_spec(): Specify python dependencies for greta
greta_sitrep(): Greta Situation Report
greta_deps_tf_tfp: Suggested valid Python dependencies for greta
greta_install_miniconda(): Installs miniconda
install_greta_deps() reinstall_greta_deps(): Install Python dependencies for greta
greta_list_py_modules(): List Python modules installed in greta env
greta_set_install_logfile(): Set logfile path when installing greta
write_greta_install_log(): Write greta dependency installation log file
open_greta_install_log(): Read a greta logfile
greta_set_python() greta_reset_python(): Choose the Python environment greta uses
greta_set_deps(): Choose the dependency versions greta installs
remove_greta_env() remove_miniconda() remove_reticulate_uv_cache() greta_remove_all_deps() destroy_greta_deps() reinstall_greta_env() reinstall_miniconda() deprecated: Deprecated removal and reinstallation helpers