prob.acceptance: calculate the acceptance probability for a given update step...
In kreidles/informativeDropout: informativeDropout: varying coefficient models to account for informative dropout
View source: R/bayesianSplineFit.R
Description
calculate the acceptance probability for a given update step in the Bayesian
spline model run.
Usage
1
prob.acceptance(fit, action)
Arguments
fit
the bayes.splines.fit object
action
the update action. Valid values are "knot.add", "knot.remove",
"knot.move", "fixedEffects", "fixedEffectsCovariates"
kreidles/informativeDropout documentation built on Sept. 13, 2020, 12:15 a.m.
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View source: R/bayesianSplineFit.R
Description
calculate the acceptance probability for a given update step in the Bayesian spline model run.
Usage
1 | prob.acceptance(fit, action)
|
Arguments
fit |
the bayes.splines.fit object |
action |
the update action. Valid values are "knot.add", "knot.remove", "knot.move", "fixedEffects", "fixedEffectsCovariates" |
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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