compute_standard_errors: Compute Standard Errors and Confidence Intervals
In ungroup: Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data
compute_standard_errors R Documentation
Compute Standard Errors and Confidence Intervals
Description
Compute Standard Errors and Confidence Intervals
Usage
compute_standard_errors(B, QmQ, H0)
Arguments
B
B-spline basis matrix
QmQ
Object generated by pclm.fit
H0
Inverse of the penalized system, taken from pclm.fit so that the
system is factorized once per fit rather than twice.
ungroup documentation built on Oct. 3, 2026, 5:06 p.m.
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| compute_standard_errors | R Documentation |
Compute Standard Errors and Confidence Intervals
Description
Compute Standard Errors and Confidence Intervals
Usage
compute_standard_errors(B, QmQ, H0)
Arguments
B |
B-spline basis matrix |
QmQ |
Object generated by pclm.fit |
H0 |
Inverse of the penalized system, taken from pclm.fit so that the system is factorized once per fit rather than twice. |
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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