calc_ll_pg_lm: Log-likelihood for pg_lm() model for use in model selection
In jtipton25/pgR: Bayesian Polya-Gamma Regression
calc_ll_pg_lm R Documentation
Log-likelihood for pg_lm() model for use in model selection
Description
this function generates the log-linkelihood for data fit using the pg_lm()
function. The log-likelihood can be used for model selection and evaluation.
Usage
calc_ll_pg_lm(Y, X, out)
Arguments
Y
is a n x J matrix of compositional count data.
X
is a n x p matrix of climate variables.
out
is a list of MCMC outputs from pg_lm()
jtipton25/pgR documentation built on July 8, 2022, 12:44 a.m.
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| calc_ll_pg_lm | R Documentation |
Log-likelihood for pg_lm() model for use in model selection
Description
this function generates the log-linkelihood for data fit using the pg_lm() function. The log-likelihood can be used for model selection and evaluation.
Usage
calc_ll_pg_lm(Y, X, out)
Arguments
Y |
is a n x J matrix of compositional count data. |
X |
is a n x p matrix of climate variables. |
out |
is a list of MCMC outputs from |
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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