robust.var: Implementation of the robust variance Vr
In fauvernierma/survPen: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
robust.var R Documentation
Implementation of the robust variance Vr
Description
Takes the model at convergence and calculates the robust variance matrix accounting for correlated survival times
Usage
robust.var(model, data, cluster.name, n.legendre = 50)
Arguments
model
survPen object, see survPen.fit for details
data
original dataset
cluster.name
name of cluster variable in data
n.legendre
number of nodes for Gauss-Legendre quadrature; default is 50
Value
survPen object with robust variance Vr
fauvernierma/survPen documentation built on Dec. 3, 2024, 8:06 p.m.
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| robust.var | R Documentation |
Implementation of the robust variance Vr
Description
Takes the model at convergence and calculates the robust variance matrix accounting for correlated survival times
Usage
robust.var(model, data, cluster.name, n.legendre = 50)
Arguments
model |
survPen object, see |
data |
original dataset |
cluster.name |
name of cluster variable in data |
n.legendre |
number of nodes for Gauss-Legendre quadrature; default is 50 |
Value
survPen object with robust variance Vr
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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