adoptr (version 0.2.2)

predictive_cdf: Predictive CDF

Description

predictive_cdf() evaluates the predictive CDF of the model specified by a DataDistribution dist and Prior at the given stage-one outcome.

Usage

predictive_cdf(dist, prior, x1, n1, ...)
# S4 method for DataDistribution,PointMassPrior,numeric
predictive_cdf(dist,
  prior, x1, n1, ...)
# S4 method for DataDistribution,ContinuousPrior,numeric
predictive_cdf(dist,
  prior, x1, n1, k = 33, ...)

Arguments

dist

a univariate distribution object

prior

a Prior object

x1

stage-one test statistic

n1

stage-one sample size

...

further optional arguments

k

number of pivots for crude integral approximation

Value

numeric, value of the predictive CDF

Examples

# NOT RUN {
predictive_cdf(Normal(), PointMassPrior(.0, 1), 0, 20) # .5

tmp <- ContinuousPrior(function(x) dunif(x, .2, .4), c(.2, .4))
predictive_cdf(Normal(), tmp, 2, 20)

# }