View source: R/conditional_functions.R
cdf_cpmgee | R Documentation |
This functions calculates the CDFs conditional on covariates based on the fitted model and new data.
cdf_cpmgee(mod, cont_y, new.data, at.y = 0, se = TRUE)
mod |
the model |
cont_y |
the continuous response data |
new.data |
the new data |
at.y |
a numeric vector of cut-off points P(y <= at.y | new.data) |
se |
if confidence intervals needed (default = TRUE) |
A list containing the following components:
est |
a vector of estimated condtional CDFs |
se |
a vector of estimated standard errors |
lb |
a vector of estimated lower bounds of 95% confidence intervals |
ub |
a vector of estimated upper bounds of 95% confidence intervals |
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