recbase: Baseline estimation and plot
In TianmengL/rectime: Implement kernel smoothing method in regression models for recurrent event data.
Description
Estimate baseline rates at equally spaced time points using the same method selected for
model estimation.
Usage
1
Arguments
fit
the output from the rectime() function.
formula
the same formula used in the rectime() function.
recdata
the rectime data object.
tau
the pre-specified time point such that the recurrent event process could be
potentially observed beyond tau. Usually it is the length of the study. If left unspecified,
the default is the maximum of the time variable.
np
number of time points where the baseline rate function is evaluated. The time
points are equally spaced between 0 to tau.
TianmengL/rectime documentation built on June 5, 2021, 8:29 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Estimate baseline rates at equally spaced time points using the same method selected for model estimation.
Usage
1 |
Arguments
fit |
the output from the rectime() function. |
formula |
the same formula used in the rectime() function. |
recdata |
the rectime data object. |
tau |
the pre-specified time point such that the recurrent event process could be potentially observed beyond tau. Usually it is the length of the study. If left unspecified, the default is the maximum of the time variable. |
np |
number of time points where the baseline rate function is evaluated. The time points are equally spaced between 0 to tau. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.