Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

bounds.KW2

Prediction of Bounds on Marginal Effects


Description

Given a fitted model by the exact NPMLE procedure prediction is made at a new design point with lower and upper bounds for the prediction due to ambiguity of the assignment of mass within the cell enumerated polygons.

Usage

bounds.KW2(object, ...)

Arguments

object

is the fitted NPMLE object

...

is expected to contain an argument newdata

Value

a list consisting of the following components:

phat

Point prediction

lower

lower bound prediction

upper

upper bound prediction

xpoly

indices of crossed polygons

Author(s)

Jiaying Gu

See Also

predict.KW2 for a simpler prediction function without bounds


RCBR

Random Coefficient Binary Response Estimation

v0.5.9
GPL (>= 2)
Authors
Roger Koenker [aut, cre], Jiaying Gu [aut]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.