Returns the observation- (or profile-) specific ceiling lambda/(1-alpha), with
bounds that carry the limits of the interval for alpha (see alpha_confint();
calibrated when the fit went through calibrate_alpha()) to the ceiling at the
fitted rate. The rate is held at its estimate: coefficient uncertainty in lambda
is not propagated, so the bounds are not a confidence interval for the ceiling;
use first_difference() with quantity = "ceiling" for a fully bootstrapped
contrast.
Usage
implied_ceiling(object, ...)
# S3 method for class 'cpb'
implied_ceiling(object, newdata = NULL, level = 0.95, ...)
# S3 method for class 'cpb_fe'
implied_ceiling(object, newdata = NULL, level = 0.95, ...)Examples
set.seed(6); x <- rnorm(300)
N <- pmax(round(exp(1.5 + 0.4 * x) / 0.5), 1); y <- rbinom(300, N, 0.5)
fit <- cpb(y ~ x, data.frame(y = y, x = x)[y > 0, ], se = "none")
implied_ceiling(fit, newdata = data.frame(x = c(-1, 0, 1)))
#> lambda ceiling lower upper
#> 1 3.000664 5.808785 5.497061 6.495959
#> 2 4.457628 8.629225 8.166144 9.650054
#> 3 6.622017 12.819122 12.131193 14.335612