betahatse.fast: Calculate estimates of the covariance matrix for beta(t).
In hds: Hazard Discrimination Summary
Description
Usage
Details
Value
Description
To help with overall computational efficiency of hdslc, this function
will return multiple covariance matrices - one covariance matrix for each
requested evaluation time.
Usage
1
betahatse.fast(betahat, times, status, m, h, evalt)
Details
See Cai and Sun (2003, Scandinavian Journal of Statistics) for details on the
local constant estimator for beta(t). The user will not typically interact
with this function. The function is wrapped by hdslc, and the output
is used by hdslcse.fast.
Value
An N x p x p matrix, where N is the number of evaluation times and
p is the number of covariates.
hds documentation built on May 2, 2019, 9:44 a.m.
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Description Usage Details Value
Description
To help with overall computational efficiency of hdslc, this function
will return multiple covariance matrices - one covariance matrix for each
requested evaluation time.
Usage
1 | betahatse.fast(betahat, times, status, m, h, evalt)
|
Details
See Cai and Sun (2003, Scandinavian Journal of Statistics) for details on the
local constant estimator for beta(t). The user will not typically interact
with this function. The function is wrapped by hdslc, and the output
is used by hdslcse.fast.
Value
An N x p x p matrix, where N is the number of evaluation times and p is the number of covariates.
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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