update_beta: Function for updating betas
In statdivlab/happi: a hierarchical approach to pangenomics inference
update_beta R Documentation
Function for updating betas
Description
Function for updating betas
Usage
update_beta(probs, covariate, firth = TRUE)
Arguments
probs
outcomes p; probability between 0 and 1
covariate
n x p matrix; this is the matrix for the primary predictor/covariate of interest
firth
use firth penalty? Default is TRUE.
Value
vector of estimated betas
statdivlab/happi documentation built on April 19, 2024, 2:04 a.m.
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| update_beta | R Documentation |
Function for updating betas
Description
Function for updating betas
Usage
update_beta(probs, covariate, firth = TRUE)
Arguments
probs |
outcomes p; probability between 0 and 1 |
covariate |
n x p matrix; this is the matrix for the primary predictor/covariate of interest |
firth |
use firth penalty? Default is TRUE. |
Value
vector of estimated betas
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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