GH: Current Status Linear Regression
In RCBR: Random Coefficient Binary Response Estimation
GH R Documentation
Current Status Linear Regression
Description
Groeneboom and Hendrickx semiparametric binary response estimator (scalar case)
score estimator based on NPMLE avoids any smoothing
proposed by Groneboom and Hendrickx (2018).
Usage
GH(b, X, y, eps = 0.001)
Arguments
b
parameter vector (fix last entry as a known number, usually 1 or -1, for normalization)
X
design matrix
y
binary response vector
eps
trimming tolerance parameter
Value
A list with components:
evaluation of a score function at parameter value
estimated standard error
sindex single index linear predictor
References
Groeneboom, P. and K. Hendrickx (2018) Current Status Linear Regression,
Annals of Statistics, 46, 1415-1444,
RCBR documentation built on Nov. 8, 2023, 5:08 p.m.
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| GH | R Documentation |
Current Status Linear Regression
Description
Groeneboom and Hendrickx semiparametric binary response estimator (scalar case) score estimator based on NPMLE avoids any smoothing proposed by Groneboom and Hendrickx (2018).
Usage
GH(b, X, y, eps = 0.001)
Arguments
b |
parameter vector (fix last entry as a known number, usually 1 or -1, for normalization) |
X |
design matrix |
y |
binary response vector |
eps |
trimming tolerance parameter |
Value
A list with components:
evaluation of a score function at parameter value
estimated standard error
sindex single index linear predictor
References
Groeneboom, P. and K. Hendrickx (2018) Current Status Linear Regression, Annals of Statistics, 46, 1415-1444,
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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