Function reference • greta

creating greta arrays Create greta arrays representing observed data or fixed values
create data greta arrays `zeros()` `ones()` `greta_array()`
convert other objects to greta arrays `as_data()`
variables & distributions Create variables and assign probability distributions over greta arrays
create greta variables `variable()` `cholesky_variable()` `simplex_variable()` `ordered_variable()`
probability distributions `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()`
define a distribution over data `distribution<-`() `distribution()`
mixtures of probability distributions `mixture()`
define joint distributions `joint()`
manipulating greta arrays Functions and operations for modifying greta arrays
arithmetic, logical and relational operators for greta arrays `operators`
functions for greta arrays `functions`
extract, replace and combine greta arrays `extract-replace-combine`
transformation functions for greta arrays `iprobit()` `ilogit()` `icloglog()` `icauchit()` `log1pe()` `imultilogit()`
modelling Define and visualise models and fit them to data
greta model objects `model()` `print(<greta_model>)` `plot(<greta_model>)`
statistical inference on greta models `mcmc()` `stashed_samples()` `extra_samples()` `initials()` `opt()`
calculate greta arrays given fixed values `calculate()`
MCMC samplers `hmc()` `rwmh()` `slice()`
optimisation methods `nelder_mead()` `powell()` `cg()` `bfgs()` `newton_cg()` `l_bfgs_b()` `tnc()` `cobyla()` `slsqp()` `gradient_descent()` `adadelta()` `adagrad()` `adagrad_da()` `momentum()` `adam()` `ftrl()` `proximal_gradient_descent()` `proximal_adagrad()` `rms_prop()`
extending greta Write R packages that extend or use greta
internal greta methods `internals`