init_oomglm: Internal. Initialize Out of memory Generalized Linear...
In blakeboswell/yotta: Out-of-memory and memory efficient Linear Model fitting with support for Inference
Description
Internal. Initialize Out of memory Generalized Linear Regression Model
Usage
1
Arguments
formula
A symbolic description of the model to be fitted of class formula.
family
A family object.
weights
A one-sided, single term formula specifying weights.
start
Starting values for the parameters in the linear predictor.
blakeboswell/yotta documentation built on May 30, 2019, 11:43 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
Internal. Initialize Out of memory Generalized Linear Regression Model
Usage
1 |
Arguments
formula |
A symbolic description of the model to be fitted of class |
family |
A |
weights |
A one-sided, single term |
start |
Starting values for the parameters in the linear predictor. |
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.