coef.ordinalgmifs

<code>coef.ordinalgmifs</code> is a generic function which extracts the model coefficients from a fitted model object fit using <code>ordinalgmifs</code>

 methods 

Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

Kellie Archer

ordinalgmifs

Ordinal Regression for High-Dimensional Data

Jiayi Hou

Qing Zhou

Kyle Ferber

Amanda Gentry

coef.ordinalgmifs function

<dl> <dt>object</dt>
<dd>an <code>ordinalgmifs</code> object.</dd> <dt>model.select</dt>
<dd>when <code>x</code> is specified any model along the solution path can be selected. The default is <code>model.select="AIC"</code> which extracts the coefficients from the model having the lowest AIC. Other options are <code>model.select="BIC"</code> or any numeric value from the solution path.</dd> <dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Author

Extract Model Coefficients — coef.ordinalgmifs

<dl>

 <dt>object</dt>
<dd>an <code>ordinalgmifs</code> object.</dd>

 <dt>model.select</dt>
<dd>when <code>x</code> is specified any model along the solution path can be selected. The default is <code>model.select="AIC"</code> which extracts the coefficients from the model having the lowest AIC. Other options are <code>model.select="BIC"</code> or any numeric value from the solution path.</dd>

 <dt>...</dt>
<dd>other arguments.</dd>

</dl>

coef.ordinalgmifs: Extract Model Coefficients

Description

Usage

Value

Arguments

Author

References

See Also