ceilings

Ceilings to use for the <code>nca</code> or <code>nca_analysis</code> methods 
&gt; nca(data, c(1, 2), 3, ceilings=c('ols', 'ce_fdh', 'cr_fdh'))
Note that the ols regression line is not a ceiling but is included as a reference.
<table class="table">
<tr><td>Ceiling Technique</td><td>Name</td></tr>
<tr><td>cols</td><td>Corrected Ordinary Least Squares</td></tr>
<tr><td>qr</td><td>Quantile Regression</td></tr>
<tr><td>ce_vrs</td><td>Ceiling Envelopment with Varying Return to Scale</td></tr>
<tr><td>cr_vrs</td><td>Ceiling Regression with Varying Return to Scale</td></tr>
<tr><td>ce_fdh</td><td>Ceiling Envelopment with Free Disposal Hull</td></tr>
<tr><td>cr_fdh</td><td>Ceiling Regression with Free Disposal Hull</td></tr>
<tr><td>c_lp</td><td>Ceiling Linear Programming</td></tr>
</table>
Note: The SFA and LH ceiling lines are deprecated (discontinued) from version 3.2.0

Parameter

Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) <doi:10.1177/1094428115584005>.
NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations.
(Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g. an effort or input) is necessary but not sufficient for a (desired) level of y (e.g. good performance or output). A quick start guide for using this package can be found here: <https://repub.eur.nl/pub/78323/> or <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2624981>.

Govert Buijs

Necessary Condition Analysis

ceilings function

Ceilings to use for the <code>nca</code> or <code>nca_analysis</code> methods 
&gt; nca(data, c(1, 2), 3, ceilings=c('ols', 'ce_fdh', 'cr_fdh'))
Note that the ols regression line is not a ceiling but is included as a reference.
<table class='table'>
<tr><td>Ceiling Technique</td><td>Name</td></tr>
<tr><td>cols</td><td>Corrected Ordinary Least Squares</td></tr>
<tr><td>qr</td><td>Quantile Regression</td></tr>
<tr><td>ce_vrs</td><td>Ceiling Envelopment with Varying Return to Scale</td></tr>
<tr><td>cr_vrs</td><td>Ceiling Regression with Varying Return to Scale</td></tr>
<tr><td>ce_fdh</td><td>Ceiling Envelopment with Free Disposal Hull</td></tr>
<tr><td>cr_fdh</td><td>Ceiling Regression with Free Disposal Hull</td></tr>
<tr><td>c_lp</td><td>Ceiling Linear Programming</td></tr>
</table>


Note: The SFA and LH ceiling lines are deprecated (discontinued) from version 3.2.0

ceilings: a set of all available ceiling techniques

Description

Arguments

Ceiling Technique	Name
cols	Corrected Ordinary Least Squares
qr	Quantile Regression
ce_vrs	Ceiling Envelopment with Varying Return to Scale
cr_vrs	Ceiling Regression with Varying Return to Scale
ce_fdh	Ceiling Envelopment with Free Disposal Hull
cr_fdh	Ceiling Regression with Free Disposal Hull
c_lp	Ceiling Linear Programming