bssmle_lse: Least-Squares Estimator of the Information Matrix
In intccr: Semiparametric Competing Risks Regression under Interval Censoring
bssmle_lse R Documentation
Least-Squares Estimator of the Information Matrix
Description
Performs the least-squares methods to estimate the information matrix for the estimated regression coefficients
Usage
bssmle_lse(obj)
Arguments
obj
a list of objectives from bssmle
Details
The function bssmle_lse estimates the information matrix for the estimated regression coefficients from the function bssmle using the lease-squares method.
Value
The function bssmle_lse returns a list of components:
Sigma
the estimated variance-covariance matrix for the estimated regression coefficients
Author(s)
Jun Park, jun.park@alumni.iu.edu
Giorgos Bakoyannis, gbakogia@iu.edu
References
Zhang, Y., Hua, L., and Huang, J. (2010), A spline-based semiparametric maximum likelihood estimation method for the Cox model with interval-censoed data. Scandinavian Journal of Statistics, 37:338-354.
intccr documentation built on May 10, 2022, 9:05 a.m.
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| bssmle_lse | R Documentation |
Least-Squares Estimator of the Information Matrix
Description
Performs the least-squares methods to estimate the information matrix for the estimated regression coefficients
Usage
bssmle_lse(obj)
Arguments
obj |
a list of objectives from |
Details
The function bssmle_lse estimates the information matrix for the estimated regression coefficients from the function bssmle using the lease-squares method.
Value
The function bssmle_lse returns a list of components:
Sigma |
the estimated variance-covariance matrix for the estimated regression coefficients |
Author(s)
Jun Park, jun.park@alumni.iu.edu
Giorgos Bakoyannis, gbakogia@iu.edu
References
Zhang, Y., Hua, L., and Huang, J. (2010), A spline-based semiparametric maximum likelihood estimation method for the Cox model with interval-censoed data. Scandinavian Journal of Statistics, 37:338-354.
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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