Bound Generalized Propensity Score
bound_propensity(vals, bound = 0.01)numeric vector of generalized propensity score estimates.
Note that the generalized propensity score is a (conditional) density and
should only be bounded/truncated away from zero.
numeric atomic giving the lower limit of the generalized
propensity score estimates to be tolerated. Estimates less than this will
be truncated to this value (default = 0.01). Note that the default may be
internally overwritten by reference to the sample size (n), so the lower
bound used is the greater of the specified value and 1/n.
A numeric vector of the same length as vals, where the
returned values are bounded such that the minimum is no lower than 1/n, for
the sample size n.
Bound estimated values of the generalized propensity score (a conditional density) to avoid numerical instability issues arising from practical violations of the assumption of positivity.