Package: StanEstimators 0.3.1

StanEstimators: Estimate Parameters for Arbitrary R Functions using 'Stan'

Allows for the estimation of parameters for 'R' functions using the various algorithms implemented in the 'Stan' probabilistic programming language.

Authors:Andrew R. Johnson [aut, cre], Jonah Gabry [ctb], Rok Češnovar [ctb], Stan Development Team [cph], Lawrence Livermore National Security [cph]

StanEstimators_0.3.1.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
StanEstimators/json (API)

# Install 'StanEstimators' in R:
install.packages('StanEstimators', repos = c('https://andrjohns.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/andrjohns/stanestimators/issues

Pkgdown/docs site:https://andrjohns.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

5.96 score 28 stars 23 scripts 15 exports 25 dependencies

Last updated from:d19186c707. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK295
linux-devel-x86_64OK356
source / vignettesOK442
linux-release-arm64OK306
linux-release-x86_64OK336
macos-release-arm64OK215
macos-release-x86_64OK881
macos-oldrel-arm64OK293
macos-oldrel-x86_64OK598
windows-develOK424
windows-releaseOK454
windows-oldrelOK416
wasm-releaseFAIL142

Exports:constrain_variablesgrad_log_probhessianlog_probloostan_diagnosestan_laplacestan_optimizestan_pathfinderstan_samplestan_variationalstan_versionssummaryunconstrain_drawsunconstrain_variables

Dependencies:abindbackportsBHcheckmateclidistributionalgenericsgluelifecycleloomagrittrmatrixStatsnumDerivpillarpkgconfigposteriorrapidjsonrRcppRcppEigenRcppParallelrlangtensorAtibbleutf8vctrs

Automatic Differentiation with RTMB

Andrew Johnson

Rendered fromRTMB-Gradients.rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2026-01-25
Started: 2026-01-25

Getting Started with StanEstimators

Andrew Johnson

Rendered fromGetting-Started.Rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2025-10-04
Started: 2024-01-07

Readme and manuals

Help Manual

Help pageTopics
The StanEstimators package.StanEstimators-package StanEstimators
Constrain a vector of variables.constrain_variables constrain_variables,StanBase,StanBase-method constrain_variables,StanBase-method
Calculate the log probability and its gradient of the model given a vector of unconstrained variables.grad_log_prob grad_log_prob,StanBase,StanBase-method grad_log_prob,StanBase-method
Calculate the log probability, its gradient, and its hessian matrix of the model given a vector of unconstrained variables.hessian hessian,StanBase,StanBase-method hessian,StanBase-method
Calculate the log probability of the model given a vector of unconstrained variables.log_prob log_prob,StanBase,StanBase-method log_prob,StanBase-method
Calculate approximate leave-one-out cross-validation (LOO-CV) for a model.loo loo.StanBase
stan_diagnosestan_diagnose
stan_laplacestan_laplace
stan_optimizestan_optimize
stan_pathfinderstan_pathfinder
stan_samplestan_sample
stan_variationalstan_variational
stan_versionsstan_versions
StanBase base classStanBase StanBase-class
Summary method for objects of class 'StanLaplace'.summary,StanLaplace-method summary-StanLaplace
Summary method for objects of class 'StanMCMC'.summary,StanMCMC-method summary-StanMCMC
Summary method for objects of class 'StanOptimize'.summary,StanOptimize-method summary-StanOptimize
Summary method for objects of class 'StanPathfinder'.summary,StanPathfinder-method summary-StanPathfinder
Summary method for objects of class 'StanVariational'.summary,StanVariational-method summary-StanVariational
Unconstrain all parameter draws.unconstrain_draws unconstrain_draws,StanBase,StanBase-method unconstrain_draws,StanBase-method unconstrain_draws,StanOptimize,StanOptimize-method unconstrain_draws,StanOptimize-method
Unconstrain a vector of variables.unconstrain_variables unconstrain_variables,StanBase,StanBase-method unconstrain_variables,StanBase-method