dcount | R Documentation |
creating a prior density function for a truncated discrete random variable
dcount(x, FUN, ...)
x |
an integer vector spanning from the minimal to maximal values |
FUN |
a probability density function (see Examples) |
... |
additional arguments to be passed to |
JM Eastman
make.gbm
range=0:100 u=dcount(range, FUN=dunif, min=min(range), max=max(range)) g=dcount(range, FUN=dgeom, prob=0.05) p=dcount(range, FUN=dtpois, min=min(range), max=max(range), lambda=0.5) priors=list(pois=p, geom=g, unif=u) plot(range(range), c(0,1), xlab="index", ylab="cumsum(prob)", type="n", bty="n") for(i in 1:length(priors)){ points(attributes(attributes(priors[[i]])$density)$cumsum, col=i, pch=22, cex=0.35) } legend("bottomright", bty="n", legend=names(priors), col=1:length(priors), pch=22) ## LN prior probabilities print(u(0)) ## dunif print(g(0)) ## dgeom print(p(0)) ## dtpois
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