Nothing
.ciCaught = function(mean,
stErr,
t.val,
popVolume
)
{
#---------------------------------------------------------------------------
#
# This little function computes the CIs and capture outcome for a given
# Monte Carlo sample, whose mean and standard error of the mean are passed.
#
# It is very similar to the in-line function in ssExtra::monteBBConstructor
# except that here we pass the standard error of the mean instead of the
# variance of the mean.
#
# This is used in montePBDM, which is getting large, so I have kept it
# separate to reduce the clutter in the code.
#
# Arguments...
# mean = the mean of a single MC sample
# stErr = the standard error of the mean above
# t.val = the two-tailed t-value
# popVolume = the population volume for the catch
#
# Returns...
# A list invisibly with...
# -- lower CI endpoint
# -- upper CI endpoint
# -- TRUE: caught the population mean; FALSE: missed it
#
#Author... Date: 25-Nov-2019
# Jeffrey H. Gove
# USDA Forest Service
# Northern Research Station
# 271 Mast Road
# Durham, NH 03824
# jhgove@unh.edu
# phone: 603-868-7667 fax: 603-868-7604
#---------------------------------------------------------------------------
#
# very simple...
#
ts = t.val*stErr
lci = mean - ts
uci = mean + ts
#
# see if we caught the population mean...
#
catch = FALSE
if(!is.na(lci) && !is.na(uci)) {
if(lci <= popVolume && popVolume <= uci)
catch = TRUE
}
return(invisible(list(lci = lci,
uci = uci,
catch = catch
)
)
)
} #.ciCaught
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