bc.model

Finds lambda-values for which the one dimensional Box-Cox model has lowest SSR.

Written to help undergraduate as well as graduate students to get started
with R for basic econometrics without the need to import specific functions
and datasets from many different sources. Primarily, the package is meant to
accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024,
ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook
Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

Soenke Hoffmann

desk

Didactic Econometrics Starter Kit

Tobias Kranz

bc.model function

<dl><dt>mod</dt>
<dd>estimated linear model object or formula.</dd>
<dt>data</dt>
<dd>if <code>mod</code> is a formula then the corresponding data frame has to be specified.</dd>
<dt>range</dt>
<dd>range and step size of lambda values. Default is a range from -2 to 2 at a step size of 0.1.</dd>
<dt>details</dt>
<dd>logical value indicating whether specific details about the test should be returned.</dd></dl>

Arguments

One Dimensional Box-Cox Model — bc.model

<dl>

<dt>mod</dt>
<dd>estimated linear model object or formula.</dd>


<dt>data</dt>
<dd>if <code>mod</code> is a formula then the corresponding data frame has to be specified.</dd>


<dt>range</dt>
<dd>range and step size of lambda values. Default is a range from -2 to 2 at a step size of 0.1.</dd>


<dt>details</dt>
<dd>logical value indicating whether specific details about the test should be returned.</dd>

</dl>

`results`	regression results with minimal SSR.
`lambda`	optimal lambda-values.
`nregs`	no. of regressions performed.
`idx.opt`	index of optimal regression.
`val.opt`	minimal SSR value.

bc.model: One Dimensional Box-Cox Model

Description

Usage

Value

Arguments

Examples