KNprior: Kass and Natarajan prior for random effects precision matrix
In hrnasif/rvb: Reparameterized Variational Bayes
Description
Usage
Arguments
Value
Description
Kass and Natarajan prior for random effects precision matrix
Usage
1
KNprior(model, pred, Z, m = 1)
Arguments
model
Character. Either "poisson" or "binomial"
pred
Vector. GLM predictions in y-scale
Z
List. Covariates for random effects
Integer.
Number of trials if model = "binomial". If "poisson", leave as 1.
Value
List containing Wishart prior parameter nu, S-inverse, and S
hrnasif/rvb documentation built on Dec. 20, 2021, 4:49 p.m.
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Description Usage Arguments Value
Description
Kass and Natarajan prior for random effects precision matrix
Usage
1 | KNprior(model, pred, Z, m = 1)
|
Arguments
model |
Character. Either "poisson" or "binomial" |
pred |
Vector. GLM predictions in y-scale |
Z |
List. Covariates for random effects |
Integer. |
Number of trials if model = "binomial". If "poisson", leave as 1. |
Value
List containing Wishart prior parameter nu, S-inverse, and S
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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