init_oomlm_robust: Internal. Initialize generalized linear model with robust...
In blakeboswell/yotta: Out-of-memory and memory efficient Linear Model fitting with support for Inference
Description
Internal. Initialize generalized linear model with robust standard errors
Usage
1
init_oomlm_robust(formula, weights, se_type)
Arguments
formula
A symbolic description of the model to be fitted
of class formula.
weights
A one-sided, single term formula specifying weights.
se_type
Method for robust standard error estimation.
blakeboswell/yotta documentation built on May 30, 2019, 11:43 a.m.
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Description
Internal. Initialize generalized linear model with robust standard errors
Usage
1 | init_oomlm_robust(formula, weights, se_type)
|
Arguments
formula |
A symbolic description of the model to be fitted
of class |
weights |
A one-sided, single term |
se_type |
Method for robust standard error estimation. |
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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