mc_cross_sensitivity: Cross-sensitivity
In wbonat/mcglm: Multivariate Covariance Generalized Linear Models
Description
Usage
Arguments
Value
Author(s)
View source: R/mc_cross_sensitivity.R
Description
Compute the cross-sensitivity matrix between regression
and covariance parameters. Equation 10 of Bonat and Jorgensen
(2015).
Usage
1
2
mc_cross_sensitivity(Product_cov, Product_beta,
n_beta_effective = length(Product_beta))
Arguments
Product_cov
A list of matrices.
Product_beta
A list of matrices.
n_beta_effective
Numeric. Effective number of regression
parameters.
Value
The cross-sensitivity matrix. Equation (10) of Bonat and
Jorgensen (2016).
Author(s)
Wagner Hugo Bonat
wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.
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Description Usage Arguments Value Author(s)
View source: R/mc_cross_sensitivity.R
Description
Compute the cross-sensitivity matrix between regression and covariance parameters. Equation 10 of Bonat and Jorgensen (2015).
Usage
1 2 | mc_cross_sensitivity(Product_cov, Product_beta,
n_beta_effective = length(Product_beta))
|
Arguments
Product_cov |
A list of matrices. |
Product_beta |
A list of matrices. |
n_beta_effective |
Numeric. Effective number of regression parameters. |
Value
The cross-sensitivity matrix. Equation (10) of Bonat and Jorgensen (2016).
Author(s)
Wagner Hugo Bonat
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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