wls.binary: Single iteration of weighted least squares
In kreidles/informativeDropout: informativeDropout: varying coefficient models to account for informative dropout
Description
Single iteration of weighted least squares
Usage
1
wls.binary(y, X, eta.wls, model.options, eta.null)
Arguments
y
vector of outcomes
X
data frame of predictors
eta.wls
current value of the linear predictor
model.options
the model options for the current run
eta.null
the value of the linear predictor for a null model - logit(p event)
kreidles/informativeDropout documentation built on Sept. 13, 2020, 12:15 a.m.
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.
Description
Single iteration of weighted least squares
Usage
1 | wls.binary(y, X, eta.wls, model.options, eta.null)
|
Arguments
y |
vector of outcomes |
X |
data frame of predictors |
eta.wls |
current value of the linear predictor |
model.options |
the model options for the current run |
eta.null |
the value of the linear predictor for a null model - logit(p event) |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.