prior.fn

prior.fn(parms, x, alpha, distn, central.tendency = NULL, trait = NULL)

Arguments

parms	target for optimization
x	vector with c(lcl, ucl, ct) lcl / ucl = confidence limits, ct = entral tendency
alpha	quantile at which lcl/ucl are estimated (e.g. for a 95 distnnamed distribution, one of 'lnorm', 'gamma', 'weibull', 'beta'; support for other distributions not currently implemented central.tendencyone of 'mode', 'median', and 'mean' traitname of trait, can be used for exceptions (currently used for trait == 'q')

parms

target for optimization

vector with c(lcl, ucl, ct) lcl / ucl = confidence limits, ct = entral tendency

alpha

quantile at which lcl/ucl are estimated (e.g. for a 95

distnnamed distribution, one of 'lnorm', 'gamma', 'weibull', 'beta'; support for other distributions not currently implemented

central.tendencyone of 'mode', 'median', and 'mean'

traitname of trait, can be used for exceptions (currently used for trait == 'q')