logistic_precomputation: Precomputation to prepare for the Polya-Gamma sampler
In pierrejacob/debiasedmcmc: Unbiased MCMC with couplings
logisticregression_precomputation R Documentation
Precomputation to prepare for the Polya-Gamma sampler
Description
This function takes the canonical elements defining the logistic regression
problem (the vector of outcome Y, covariate matrix X, the prior mean b and the prior variance B),
and precomputes some quantities repeatedly used in the Polya-Gamma sampler and variants of it.
The precomputed quantities are returned in a list, which is then meant to be passed to the samplers.
Usage
logisticregression_precomputation(Y, X, b, B)
pierrejacob/debiasedmcmc documentation built on Aug. 22, 2022, 12:41 a.m.
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| logisticregression_precomputation | R Documentation |
Precomputation to prepare for the Polya-Gamma sampler
Description
This function takes the canonical elements defining the logistic regression problem (the vector of outcome Y, covariate matrix X, the prior mean b and the prior variance B), and precomputes some quantities repeatedly used in the Polya-Gamma sampler and variants of it. The precomputed quantities are returned in a list, which is then meant to be passed to the samplers.
Usage
logisticregression_precomputation(Y, X, b, B)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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