simple_EM: Simple EM algorithm for starting values.
In vglmer: Variational Inference for Hierarchical Generalized Linear Models
simple_EM R Documentation
Simple EM algorithm for starting values.
Description
Use ridge penalty to prevent separation. Not be called by user!
Usage
EM_prelim_logit(X, Z, s, pg_b, iter, ridge = 2)
EM_prelim_nb(X, Z, y, est_r, iter, ridge = 2)
Arguments
X
Design matrix
Z
RE design matrix
s
(y_i - n_i)/2 for polya-gamma input
pg_b
n_i as vector input
iter
iterations
ridge
variance of ridge prior
y
Raw observed y_i
est_r
Initial r value (not updated!)
vglmer documentation built on April 3, 2025, 6:07 p.m.
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| simple_EM | R Documentation |
Simple EM algorithm for starting values.
Description
Use ridge penalty to prevent separation. Not be called by user!
Usage
EM_prelim_logit(X, Z, s, pg_b, iter, ridge = 2)
EM_prelim_nb(X, Z, y, est_r, iter, ridge = 2)
Arguments
X |
Design matrix |
Z |
RE design matrix |
s |
(y_i - n_i)/2 for polya-gamma input |
pg_b |
n_i as vector input |
iter |
iterations |
ridge |
variance of ridge prior |
y |
Raw observed y_i |
est_r |
Initial r value (not updated!) |
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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