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stan-dev
stan-dev/posteriordb

Database with posteriors of interest for Bayesian inference

181 (+28)
amesoudi
amesoudi/cultural_evolution_ABM_tutorial

This tutorial shows how to create very simple simulation or agent-based models of cultural evolution in R

96 (+7)
gpl-3.0
jg-you
jg-you/noisy-networks-measurements

Noisy network measurement with stan

53 (+6)
mit
julianfaraway
julianfaraway/rexamples

worked R examples

114 (+5)
m-clark
m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

83 (+2)
cc0-1.0
saudiwin
saudiwin/idealstan

idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. ...

51 (+1)
gpl-2.0
Last 12-months (relative gain)
stan-dev
stan-dev/posteriordb

Database with posteriors of interest for Bayesian inference

181 (+18%)
jg-you
jg-you/noisy-networks-measurements

Noisy network measurement with stan

53 (+13%)
mit
amesoudi
amesoudi/cultural_evolution_ABM_tutorial

This tutorial shows how to create very simple simulation or agent-based models of cultural evolution in R

96 (+8%)
gpl-3.0
julianfaraway
julianfaraway/rexamples

worked R examples

114 (+5%)
m-clark
m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

83 (+2%)
cc0-1.0
saudiwin
saudiwin/idealstan

idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. ...

51 (+2%)
gpl-2.0