R/dist_fn.R
estimate_ci_marg_dist.Rd
Compute confidence interval/s for the treatment specific PMF and CDF.
estimate_ci_marg_dist( marg_cdf_est, marg_pmf_est, cdf_est, pmf_est, covar, treat_prob_est, treat_form, out_form, treat, ci, out_levels, out_model, out, alpha, nboot )
marg_cdf_est | Point estimate of treatment-specific CDF. |
---|---|
marg_pmf_est | Point estimate of treatment-specific PMF. |
cdf_est | Estimates of treatment-specific conditional CDF. |
pmf_est | Estimates of treatment-specific conditional PMF. |
covar | A |
treat_prob_est | Estimated probability of treatments, output from call
to |
treat_form | The right-hand side of a regression formula for the working model of treatment probability as a function of covariates |
out_form | The right-hand side of a regression formula for the working proportional odds model. NOTE: THIS FORMULA MUST NOT SUPPRESS THE INTERCEPT. |
treat | A |
ci | A vector of |
out_levels | A |
out_model | Which R function should be used to fit the proportional odds
model. Options are |
out | A |
alpha | Confidence intervals have nominal level 1- |
nboot | Number of bootstrap replicates used to compute bootstrap confidence intervals. |
List of lists (cdf
and pmf
) with wald
and bca
-estimated confidence
intervals for the marginal treatment-specific distribution functions.