nelsonaalen_npdf: Nelson-Aalen estimates of group-specific cumulative hazard...
In fgaspe04/discfrail: Cox Models for Time-to-Event Data with Nonparametric Discrete Group-Specific Frailties
Description
Usage
Arguments
Value
See Also
Examples
Description
Nelson-Aalen estimates of group-specific cumulative hazard from a nonparametric discrete frailty model
Usage
1
Arguments
x
A fitted nonparametric discrete frailty model, as returned by npdf_cox with estK=FALSE.
Value
A list of objects of length equal to the number of groups in the data. Each component is a list, equivalent to the output of survfit called for the corresponding group with type="fh", but with two additional components:
y0: -log of the survival estimate
sfun0: a step function for y0 in terms of time, estimated using stepfun.
See Also
plot.nelsonaalen_npdf, plot.npdf.
Examples
1
2
3
x = npdf_cox( Surv(time, status) ~ x, groups=family, data=weibdata2030, K = 2,
estK=FALSE, eps_conv=10^-4)
object = nelsonaalen_npdf( x )
fgaspe04/discfrail documentation built on May 17, 2019, 7:05 p.m.
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Description Usage Arguments Value See Also Examples
Description
Nelson-Aalen estimates of group-specific cumulative hazard from a nonparametric discrete frailty model
Usage
1 |
Arguments
x |
A fitted nonparametric discrete frailty model, as returned by |
Value
A list of objects of length equal to the number of groups in the data. Each component is a list, equivalent to the output of survfit called for the corresponding group with type="fh", but with two additional components:
y0: -log of the survival estimate
sfun0: a step function for y0 in terms of time, estimated using stepfun.
See Also
plot.nelsonaalen_npdf, plot.npdf.
Examples
1 2 3 | x = npdf_cox( Surv(time, status) ~ x, groups=family, data=weibdata2030, K = 2,
estK=FALSE, eps_conv=10^-4)
object = nelsonaalen_npdf( x )
|
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.
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