fmmax: Find suitable mmax for clipping improper priors for M
In ddalthorp/dwp: Density-Weighted Proportion
fmmax R Documentation
Find suitable mmax for clipping improper priors for M
Description
Improper priors need to be clipped in order to be usable.
fmmax and fmmax.ab find values of m that are large enough
that the probability of exceeding is less than 0.0001 (depends on g and
X).
Usage
fmmax(x, g)
fmmax.ab(x, pBa, pBb)
Arguments
x
carcass count
g
overall carcass detection probability
pBa, pBb
parameters for beta distribution characterizing estimated g
Value
integer m such that Pr(M >= m) < 0.0001
ddalthorp/dwp documentation built on July 1, 2023, 9:42 a.m.
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| fmmax | R Documentation |
Find suitable mmax for clipping improper priors for M
Description
Improper priors need to be clipped in order to be usable.
fmmax and fmmax.ab find values of m that are large enough
that the probability of exceeding is less than 0.0001 (depends on g and
X).
Usage
fmmax(x, g)
fmmax.ab(x, pBa, pBb)
Arguments
x |
carcass count |
g |
overall carcass detection probability |
pBa, pBb |
parameters for beta distribution characterizing estimated |
Value
integer m such that Pr(M >= m) < 0.0001
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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