compute_gee_variance: Compute Estimates' Variance Using a GEE Framework
In itamarfaran/corrfuncs: Analysis of populations of correlation matrices
Description
Usage
Arguments
Value
See Also
View source: R/compute_gee_variance.R
Description
Estimate the estimators' variance using a Generalized Estimation Equations framework
Usage
1
compute_gee_variance(mod, control_arr, diagnosed_arr, est_mu = TRUE)
Arguments
mod
an object created by estimate_model
control_arr
array of correlation matrices of control group. can be passed as a matrix, each row is a vectorized correlation matrix
diagnosed_arr
same as control_arr but of the diagnosed group
est_mu
whether to use the expected value estimated in the model or the sample average. default TRUE.
Value
the Fisher information matrix of alpha
See Also
estimate_model convert_corr_array_to_data_matrix
itamarfaran/corrfuncs documentation built on Nov. 26, 2021, 12:02 p.m.
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Description Usage Arguments Value See Also
View source: R/compute_gee_variance.R
Description
Estimate the estimators' variance using a Generalized Estimation Equations framework
Usage
1 | compute_gee_variance(mod, control_arr, diagnosed_arr, est_mu = TRUE)
|
Arguments
mod |
an object created by estimate_model |
control_arr |
array of correlation matrices of control group. can be passed as a matrix, each row is a vectorized correlation matrix |
diagnosed_arr |
same as control_arr but of the diagnosed group |
est_mu |
whether to use the expected value estimated in the model or the sample average. default TRUE. |
Value
the Fisher information matrix of alpha
See Also
estimate_model convert_corr_array_to_data_matrix
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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