View source: R/hr_flexsurvreg.R
hr_flexsurvreg  R Documentation 
Hazard ratio as a function of time from a parametric survival model
hr_flexsurvreg( x, newdata = NULL, t = NULL, start = 0, ci = TRUE, B = 1000, cl = 0.95, na.action = na.pass )
x 
Object returned by 
newdata 
A data frame with two rows, each specifying a set of covariate values.
The hazard ratio is calculated as hazard(z2)/hazard(z1), where z1 is the first row
of

t 
Times to calculate fitted values for. By default, these are the sorted unique observation (including censoring) times in the data  for lefttruncated datasets these are the "stop" times. 
start 
Optional lefttruncation time or times. The returned
survival, hazard or cumulative hazard will be conditioned on survival up to
this time. Predicted times returned with A vector of the same length as 
ci 
Set to 
B 
Number of simulations from the normal asymptotic distribution of
the estimates used to calculate confidence intervals or standard errors.
Decrease for greater
speed at the expense of accuracy, or set 
cl 
Width of symmetric confidence intervals, relative to 1. 
na.action 
Function determining what should be done with missing values in 
A data frame with estimate and confidence limits for the hazard ratio, and
one row for each of the times requested in t
.
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