ghq: Gauss-Hermite
In glmmML: Generalized Linear Models with Clustering
ghq R Documentation
Gauss-Hermite
Description
Calculates the zeros and weights needed for Gauss-Hermite quadrature.
Usage
ghq(n.points = 1, modified = TRUE)
Arguments
n.points
Number of points.
modified
Multiply by exp(zeros**2)? Default is TRUE.
Details
Based on a Fortran 66 subroutine written by professor Jianming Jin.
Value
A list vith components
zeros
The zeros (abscissas).
weights
The weights
Note
The code is modified to suit the purpose of glmmML, with the permission
of professor Jin.
Author(s)
Jianming Jin, Univ. of Illinois, Urbana-Campaign
References
Gauss-Hermite
See Also
glmmML
Examples
ghq(15, FALSE)
glmmML documentation built on Sept. 8, 2023, 5:10 p.m.
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| ghq | R Documentation |
Gauss-Hermite
Description
Calculates the zeros and weights needed for Gauss-Hermite quadrature.
Usage
ghq(n.points = 1, modified = TRUE)
Arguments
n.points |
Number of points. |
modified |
Multiply by exp(zeros**2)? Default is TRUE. |
Details
Based on a Fortran 66 subroutine written by professor Jianming Jin.
Value
A list vith components
zeros |
The zeros (abscissas). |
weights |
The weights |
Note
The code is modified to suit the purpose of glmmML, with the permission of professor Jin.
Author(s)
Jianming Jin, Univ. of Illinois, Urbana-Campaign
References
Gauss-Hermite
See Also
glmmML
Examples
ghq(15, FALSE)
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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