mode2g: Moment and inverse moment prior elicitation
In mombf: Bayesian Model Selection and Averaging for Non-Local and Local Priors

Description Usage Arguments Details Value Author(s) References See Also Examples

priorp2g finds the g value giving priorp prior probability to the interval (-q,q).

1	priorp2g(priorp, q, nu=1, prior=c("iMom", "normalMom", "tMom"))

`prior`	`prior=='normalMom'` does computations for the normal moment prior, `prior=='tMom'` for the T moment prior, `prior=='iMom'` does computations for the inverse moment prior. Currently `prior=='tMom'` is not implemented in `priorp2g`.
`q`	`priorp2g` returns g giving `priorp` prior probability to the interval `(-q,q)`.
`nu`	Prior degrees of freedom for the T moment prior or the iMom prior (ignored if `prior=='normalMom'`).
`priorp`	`priorp2g` returns g giving `priorp` prior probability to the interval `(-q,q)`

See pmom and pimom for the MOM/iMOM cumulative distribution functions.

priorp2g returns g giving priorp prior probability to the interval (-q,q).

David Rossell rosselldavid@gmail.com

See http://rosselldavid.googlepages.com for technical reports.

pmom, pimom

data(hald)
lm1 <- lm(hald[, 1] ~ hald[, 2] + hald[, 3] + hald[, 4] + hald[, 5])

#find g value giving 0.05 probability to interval (-.2,.2)
priorp <- .05; q <- .2
gmom <- priorp2g(priorp=priorp, q=q, prior='normalMom')
gimom <- priorp2g(priorp=priorp, q=q, prior='iMom')
gmom
gimom