new_mcmcRocPrc: Constructor for mcmcRocPrc objects
In BayesPostEst: Generate Postestimation Quantities for Bayesian MCMC Estimation
Description
This function actually does the heavy lifting once we have a matrix of
predicted probabilities from a model, plus the vector of observed outcomes.
The reason to have it here in a single function is that we don't replicate
it in each function that accomodates a JAGS, BUGS, RStan, etc. object.
Usage
1
new_mcmcRocPrc(pred_prob, yvec, curves, fullsims)
Arguments
pred_prob
a \[N, iter\] matrix of predicted probabilities
yvec
a numeric(N) vector of observed outcomes
curves
include curve data in output?
fullsims
collapse posterior samples into single summary?
BayesPostEst documentation built on Nov. 11, 2021, 9:07 a.m.
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Description
This function actually does the heavy lifting once we have a matrix of predicted probabilities from a model, plus the vector of observed outcomes. The reason to have it here in a single function is that we don't replicate it in each function that accomodates a JAGS, BUGS, RStan, etc. object.
Usage
1 | new_mcmcRocPrc(pred_prob, yvec, curves, fullsims)
|
Arguments
pred_prob |
a |
yvec |
a |
curves |
include curve data in output? |
fullsims |
collapse posterior samples into single summary? |
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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