predict_pgLM: Bayesian Polya-gamma regression prediction
In jtipton25/pgR: Bayesian Polya-Gamma Regression
predict_pgLM R Documentation
Bayesian Polya-gamma regression prediction
Description
this function generates predictions from the Bayesian multinomial regression using Polya-gamma data augmentation
Usage
predict_pgLM(out, X_pred, n_cores = 1L)
Arguments
out
is a list of MCMC outputs from pgLM
X_pred
is a n_{pred} x p matrix of climate variables.
n_cores
is the number of cores for parallel computation using openMP.
jtipton25/pgR documentation built on July 8, 2022, 12:44 a.m.
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| predict_pgLM | R Documentation |
Bayesian Polya-gamma regression prediction
Description
this function generates predictions from the Bayesian multinomial regression using Polya-gamma data augmentation
Usage
predict_pgLM(out, X_pred, n_cores = 1L)
Arguments
out |
is a list of MCMC outputs from pgLM |
X_pred |
is a n_{pred} x p matrix of climate variables. |
n_cores |
is the number of cores for parallel computation using openMP. |
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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