normal_prior: A basic normal prior density function.
In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression
Description
Usage
Arguments
Author(s)
Description
A basic normal prior density function.
Usage
1
normal_prior(beta_mat, prior_mean = 0, prior_variance = 100, return_log = TRUE)
Arguments
beta_mat
A matrix. The rows are the coefficients of the
difference covariates. The columns are the different genes.
prior_mean
A numeric. The prior mean.
prior_variance
A positive numeric. The prior variance.
return_log
A logical. Should we return the log-density
("TRUE") or the the density ("FALSE")?
Author(s)
David Gerard
dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.
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Description Usage Arguments Author(s)
Description
A basic normal prior density function.
Usage
1 | normal_prior(beta_mat, prior_mean = 0, prior_variance = 100, return_log = TRUE)
|
Arguments
beta_mat |
A matrix. The rows are the coefficients of the difference covariates. The columns are the different genes. |
prior_mean |
A numeric. The prior mean. |
prior_variance |
A positive numeric. The prior variance. |
return_log |
A logical. Should we return the log-density
( |
Author(s)
David Gerard
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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