vb_predictive: Bayesian linear mixed model with multiple random effects
In yhai943/FBLMM: Bayesian linear mixed model with multiple random effects
View source: R/vb_predictive.R
vb_predictive R Documentation
Bayesian linear mixed model with multiple random effects
Description
Bayesian linear mixed model with multiple random effects
Usage
vb_predictive(fit, epsilon = 1e-3, maf_beta = 0.5, maf_u = 0.5)
Arguments
fit
vb fit from vb_fit_rare_common
epsilon
a threshold for the increase of the variance
maf_beta
a filtering threshold for the weight of parameter beta
maf_u
a filtering threshold for the weight of parameter U
Examples
fit <- vb_fit_rarecommon(...)
vb_predictive(fit)
yhai943/FBLMM documentation built on March 19, 2022, 8:21 a.m.
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View source: R/vb_predictive.R
| vb_predictive | R Documentation |
Bayesian linear mixed model with multiple random effects
Description
Bayesian linear mixed model with multiple random effects
Usage
vb_predictive(fit, epsilon = 1e-3, maf_beta = 0.5, maf_u = 0.5)
Arguments
fit |
|
epsilon |
a threshold for the increase of the variance |
maf_beta |
a filtering threshold for the weight of parameter beta |
maf_u |
a filtering threshold for the weight of parameter U |
Examples
fit <- vb_fit_rarecommon(...) vb_predictive(fit)
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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