BCLPBias

Confidence interval estimates for bias in local polynomial regression.

models

Most of this package consists of data sets from the
textbook Introduction
to Linear Regression Analysis, by Montgomery, Peck
and Vining.  All data sets from the 3rd edition are included
and many from the 6th edition are also included.
The package also contains some additional data sets and functions.

W.J. Braun

Data Sets from Montgomery, Peck and Vining

S. MacQueen

BCLPBias function

<dl> <dt>xy</dt>
<dd>A data frame, whose first column must be the explanatory variable
and whose second column must be the response variable.</dd> <dt>k1</dt>
<dd>degree of local polynomial used in curve estimator.</dd> <dt>k2</dt>
<dd>degree of local polynomial used in bias estimator.</dd> <dt>h</dt>
<dd>bandwidth for regression estimator.</dd> <dt>h2</dt>
<dd>bandwidth for bias estimator.</dd> <dt>numgrid</dt>
<dd>number of gridpoints used in the curve estimator.</dd> <dt>alpha</dt>
<dd>nominal confidence level.</dd></dl>

Arguments

Author

Bias for Bias-Corrected Local Polynomial Regression — BCLPBias

<dl>

 <dt>xy</dt>
<dd>A data frame, whose first column must be the explanatory variable
and whose second column must be the response variable.</dd>

 <dt>k1</dt>
<dd>degree of local polynomial used in curve estimator.</dd>

 <dt>k2</dt>
<dd>degree of local polynomial used in bias estimator.</dd>

 <dt>h</dt>
<dd>bandwidth for regression estimator.</dd>

 <dt>h2</dt>
<dd>bandwidth for bias estimator.</dd>

 <dt>numgrid</dt>
<dd>number of gridpoints used in the curve estimator.</dd>

 <dt>alpha</dt>
<dd>nominal confidence level.</dd>

</dl>

BCLPBias: Bias for Bias-Corrected Local Polynomial Regression

Description

Usage

Value

Arguments

Author