bca_logodds {drord} | R Documentation |
Compute a BCa bootstrap confidence interval for the weighted mean. The code is based on the slides found here: http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf
bca_logodds(
treat,
covar,
out,
nboot,
treat_form,
out_levels,
out_form,
out_model,
logodds_est,
alpha = 0.05
)
treat |
A |
covar |
A |
out |
A |
nboot |
Number of bootstrap replicates used to compute bootstrap confidence intervals. |
treat_form |
The right-hand side of a regression formula for the working model of treatment probability as a function of covariates |
out_levels |
A |
out_form |
The right-hand side of a regression formula for the working proportional odds model. NOTE: THIS FORMULA MUST NOT SUPPRESS THE INTERCEPT. |
out_model |
Which R function should be used to fit the proportional odds
model. Options are |
logodds_est |
The estimated log-odds. |
alpha |
Level of confidence interval. |
matrix with treatment-specific log-odds CIs and CI for difference.