Package index • StanEstimators

All functions

StanBase-class StanBase: StanBase base class

StanEstimators-package StanEstimators: The StanEstimators package.

constrain_variables(): Constrain a vector of variables.

grad_log_prob(): Calculate the log probability and its gradient of the model given a vector of unconstrained variables.

hessian(): Calculate the log probability, its gradient, and its hessian matrix of the model given a vector of unconstrained variables.

log_prob(): Calculate the log probability of the model given a vector of unconstrained variables.

loo(<StanBase>): Calculate approximate leave-one-out cross-validation (LOO-CV) for a model.

stan_diagnose(): stan_diagnose

stan_laplace(): stan_laplace

stan_optimize(): stan_optimize

stan_pathfinder(): stan_pathfinder

stan_sample(): stan_sample

stan_variational(): stan_variational

stan_versions(): stan_versions

summary(<StanLaplace>): Summary method for objects of class StanLaplace.

summary(<StanMCMC>): Summary method for objects of class StanMCMC.

summary(<StanOptimize>): Summary method for objects of class StanOptimize.

summary(<StanPathfinder>): Summary method for objects of class StanPathfinder.

summary(<StanVariational>): Summary method for objects of class StanVariational.

unconstrain_draws(): Unconstrain all parameter draws.

unconstrain_variables(): Unconstrain a vector of variables.