histprior: Density function of a histogram distribution
In LearnBayes: Functions for Learning Bayesian Inference

Computes the density of a probability distribution defined on a set of equal-width intervals

1	histprior(p,midpts,prob)

`p`	vector of values for which density is to be computed
`midpts`	vector of midpoints of the intervals
`prob`	vector of probabilities of the intervals

vector of values of the probability density

Jim Albert

midpts=c(.1,.3,.5,.7,.9)
prob=c(.2,.2,.4,.1,.1)
p=seq(.01,.99,by=.01)
plot(p,histprior(p,midpts,prob),type="l")

LearnBayes documentation built on May 1, 2019, 7:03 p.m.

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