estimate_ci_logodds {drord} | R Documentation |
Compute confidence interval/s for the log-odds parameters
estimate_ci_logodds(
logodds_est,
cdf_est,
out_form,
covar,
treat_prob_est,
treat,
treat_form,
out,
ci,
alpha = 0.05,
nboot,
out_levels,
out_model,
...
)
logodds_est |
The point estimates for log-odds. |
cdf_est |
A list of treatment-specific CDF estimates. |
out_form |
The right-hand side of a regression formula for the working proportional odds model. NOTE: THIS FORMULA MUST NOT SUPPRESS THE INTERCEPT. |
covar |
A |
treat_prob_est |
Estimated probability of treatments, output from call
to |
treat |
A |
treat_form |
The right-hand side of a regression formula for the working model of treatment probability as a function of covariates |
out |
A |
ci |
A vector of |
alpha |
Confidence intervals have nominal level 1- |
nboot |
Number of bootstrap replicates used to compute bootstrap confidence intervals. |
out_levels |
A |
out_model |
Which R function should be used to fit the proportional odds
model. Options are |
... |
Other options (not currently used). |
List with wald
and bca
-estimated confidence intervals
for the weighted mean parameters.