fisherscoring: Fisher scoring for RVB2
In hrnasif/rvb: Reparameterized Variational Bayes
Description
Usage
Arguments
Value
View source: R/fisherscoring.R
Description
Fisher scoring for RVB2
Usage
1
fisherscoring(etahati, Zyi, Zi, Zti, Xibeta, Omega, model, mi)
Arguments
etahati
Vector. MLE under the regularized model from RVB1
Zyi
Numeric or vector. Zi^T yi
Zi
Vector. Covariates for local variables
Zti
Vector. Output from transformZi
Xibeta
Vector. Xi^T beta
Omega
Matrix. Local variable prior precision matrix
model
Character. Either "poisson" or "binomial"
mi
Numeric. Number of trials if binomial
Value
A numeric or vector representing the mode of the conditional posterior
density of the local variables bi given the global variables and data.
hrnasif/rvb documentation built on Dec. 20, 2021, 4:49 p.m.
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Description Usage Arguments Value
View source: R/fisherscoring.R
Description
Fisher scoring for RVB2
Usage
1 | fisherscoring(etahati, Zyi, Zi, Zti, Xibeta, Omega, model, mi)
|
Arguments
etahati |
Vector. MLE under the regularized model from RVB1 |
Zyi |
Numeric or vector. Zi^T yi |
Zi |
Vector. Covariates for local variables |
Zti |
Vector. Output from transformZi |
Xibeta |
Vector. Xi^T beta |
Omega |
Matrix. Local variable prior precision matrix |
model |
Character. Either "poisson" or "binomial" |
mi |
Numeric. Number of trials if binomial |
Value
A numeric or vector representing the mode of the conditional posterior density of the local variables bi given the global variables and data.
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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