fdskrls: Compute first differences with KRLS

In KRLS: Kernel-Based Regularized Least Squares

Description

Internal function that is called by krls to computes first differences for binary predictors in the X matrix. It would normally not be called by the user directly.

Usage

fdskrls(object,...)

Arguments

object	Object from call to krls.
...	additional arguments to be passed to lower level functions

Value

A object of class krls where the derivatives, average derivatives, and the varinaces of the average derivatives are replaced with the first differences for binary predictors. The binaryindicator is also updated and set to TRUE for binary predictors.

Author(s)

Jens Hainmueller (Stanford) and Chad Hazlett (MIT)

See Also

krls

KRLS documentation built on May 2, 2019, 5:51 a.m.