Description Usage Arguments Value
The function fits a regression model where observations can be from logistic and/or gaussian likelihood. The coefficients are shared, and can have Spike and Slab (SS) and/or Gaussian (G) priors.
1 2 3 |
y |
Binary observations |
Xy |
SS covariates for y |
Zy |
G covariates for y |
h |
Gaussian observations |
Xh |
SS covariates for h |
Zh |
G covariates for h |
prior |
A list of priors. See details. |
verbose |
print additional runtime messages |
damp |
Damping coefficient in SS mean update. damp * old + (1-damp)*new. |
eps |
the approximation loop convergence threshold |
max.iter |
– TODO |
A list with posteriors.
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