The search engine behind get_protection_level
. Should not
usually be necessary to call this directly.
find_prot_titre_val(fit, var_name, newdata = NULL,
prot_var_name = "prot_point", lvl = 0.5, ci_level = 0.95,
tol = 10^(-7))
Object returned by sclr
.
Name of the covariate for which the protection values should
be calculated. This name should appear in the formula of the call to
sclr
which was used to generate fit
.
A dataframe with all covariates except the one for which protection values should be calculated.
A variable name among those returned by
predict.sclr
which needs to equal lvl
at the value of
var_name
that is supposed to be found.
Protection level to find titre values for. Default is 0.5 (50%).
Confidence level for the calculated interval. Default is 0.95.
Tolerance. The values will be found numerically,
once the algorithm converges within tol
of lvl
it stops looking. Default is \(10^(-7)\).
A dataframe. Will have the same variables as newdata
with
the addition of the var_name
variable.