MC-STAN . ORG {
}
Title:
Run Stan's variational approximation algorithms — model-method-variational • cmdstanr
Description:
The $variational() method of a CmdStanModel object runs Stan
Website Age:
12 years and 10 months (reg. 2012-08-15).
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Keywords {🔍}
iteration, chain, path, elbo, log, iter, alpha, sampling, dbl, null, seconds, initial, warmup, cmdstan, data, finished, draws, notes, chains, parameters, joint, prob, grad, evals, evaluations, default, seed, number, model, theta, density, stan, object, output, positive, method, list, integer, files, argument, true, time, values, fit, execution, standata, run, approximation, variable, mcmc,
Topics {✒️}
full-rank covariance matrix org/docs/cmdstan-guide model-method-generate-quantities monte carlo estimate summaries fit_mcmc$summary unconstrained parameter space auxiliary diagnostic information model-method-pathfinder relative gradient magnitude model-method-sample model-method-check_syntax model-method-compile model-method-diagnose model-method-expose_functions model-method-format model-method-optimize model-method-sample_mpi unconstrained variable space model-method-laplace fitted model object cmdstanlaplace fit object resulting fit object printed screen updates output csv files chain execution time fully factorized gaussian stan functions reduce_sum pareto smoothed weights approximate posterior samples current stan model fitted model objects cmdstanlaplace fit objects examples/bernoulli/bernoulli temporary files created json files compatible data file compatible cmdstanpathfinder fit object argument replaces cmdstan' chains finished successfully transformed data block pathfinder method model fitting methods multi-chain sampling fit_mcmc$draws requested chains/paths single argument chain_id approximate posterior fit_pf$summary fit_pf$draws csv files
Questions {❓}
- (logical) Do warmup adaptation?
- (logical) Should auxiliary diagnostic information about the latent dynamics be written to temporary diagnostic CSV files?
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