CmdStan

GPTKB entity

Statements (59)
Predicate Object
gptkbp:instanceOf software
gptkbp:archives GitHub
gptkbp:developedBy gptkb:Stan_Development_Team
gptkbp:features command-line interface
posterior sampling
efficient sampling algorithms
modeling flexibility
gptkbp:historicalSignificance available online
https://www.w3.org/2000/01/rdf-schema#label CmdStan
gptkbp:language gptkb:C++
gptkbp:license GPL-3.0
gptkbp:operatingHours Cross-platform
gptkbp:provides diagnostic tools
posterior predictive checks
customizable output
model comparison
gptkbp:relatedTo Bayesian statistics
data analysis
Stan
statistical modeling
gptkbp:releaseDate 2016
gptkbp:requires CMake
C++ compiler
make
gptkbp:supports Bayesian inference
cloud computing
machine learning
deep learning
model selection
real-time data processing
time series analysis
user-defined functions
predictive modeling
data augmentation
network analysis
causal inference
experimental design
multi-threading
meta-analysis
latent variable models
sensitivity analysis
spatial statistics
big data analysis
MCMC sampling
survival analysis
custom distributions
variational inference
generalized linear models
robust statistics
time-to-event analysis
data-driven modeling
hierarchical models
model averaging
multivariate models
parallel sampling
empirical_Bayes
non-linear_models
gptkbp:type statistical software
gptkbp:uses Stan_modeling_language