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) NCA identifies necessary (but not sufficient) conditions in datasets. 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).

Documentation

Manual: NCA.pdf
Vignette: None available.

Maintainer: Govert Buijs <buijs at rsm.nl>

Author(s): Jan Dul <jdul at rsm.nl>

Install package and any missing dependencies by running this line in your R console:

install.packages("NCA")

Depends
Imports gplots, quantreg, sfa, KernSmooth
Suggests testthat
Enhances
Linking to
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imports
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Package NCA
Materials
URL
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Version 2.0
Published 2016-05-18
License GPL (>= 3)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks NCA check results
Package source NCA_2.0.tar.gz