fit_measures: LPML, DIC and WAIC measures
In DouglasMesquita/robit: FLAMES: Flexible Link functions with AsyMptotES
fit_measures R Documentation
LPML, DIC and WAIC measures
Description
LPML, DIC and WAIC measures
Usage
fit_measures(y, p, nrep = NULL, nsamp = 100)
Arguments
y
Vector of response variable
p
Matrix of probabilities for each individual y in each MCMC iteration
nrep
Number of replications in bootstrap (null to use all data)
nsamp
Number of observation in each bootstrap realization
Value
measures A data.frame with LMPL, DIC and WAIC measures
DouglasMesquita/robit documentation built on May 28, 2022, 8:30 a.m.
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| fit_measures | R Documentation |
LPML, DIC and WAIC measures
Description
LPML, DIC and WAIC measures
Usage
fit_measures(y, p, nrep = NULL, nsamp = 100)
Arguments
y |
Vector of response variable |
p |
Matrix of probabilities for each individual y in each MCMC iteration |
nrep |
Number of replications in bootstrap (null to use all data) |
nsamp |
Number of observation in each bootstrap realization |
Value
measures A data.frame with LMPL, DIC and WAIC measures
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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