Nothing
# Calculate a trust value indicator for a parameter estimate using the following
# rules:
#
# - Level 0: The corresponding process is never limiting at any point in the
# curve. This parameter estimate cannot be trusted.
#
# - Level 1: The corresponding process is limiting at more than one point in the
# curve, but the upper confidence limit for the parameter value is infinity.
# This parameter estimate is likely unreliable.
#
# - Level 2: The corresponding process is limiting at more than one point in the
# curve and there is a finite upper confidence limit for the parameter value.
# This parameter estimate is trustworthy.
trust_value <- function(
unreliable_npts, # TRUE means that the corresponding process is never limiting at any point in the curve
unreliable_inf # TRUE means that the upper confidence limit for the parameter is infinity
)
{
if (unreliable_npts) {
0
} else if (unreliable_inf) {
1
} else {
2
}
}
# Decide whether to remove the estimated parameter value using the following
# rules:
#
# - When remove_unreliable_param is 0, all parameter estimates should be kept.
#
# - When remove_unreliable_param is 1, severely unreliable parameter estimates
# (where trust is 0) should be removed and other parameter estimates should be
# kept.
#
# - When remove_unreliable_param is 2, any potentially unreliable parameter
# estimates (where trust is 0 or 1) should be removed.
remove_estimate <- function(trust, remove_unreliable_param) {
if (remove_unreliable_param == 0) {
FALSE
} else if (remove_unreliable_param == 1) {
if (trust == 0) {
TRUE
} else {
FALSE
}
} else {
if (trust == 0 || trust == 1) {
TRUE
} else {
FALSE
}
}
}
# Make sure the user input is acceptable
check_param_setting <- function(remove_unreliable_param) {
if (!remove_unreliable_param %in% c(0, 1, 2)) {
stop('`remove_unreliable_param` must be 0, 1, or 2')
}
}
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