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).

Version: | 2.0 |

Imports: | gplots, quantreg, sfa, KernSmooth |

Suggests: | testthat |

Published: | 2016-05-18 |

Author: | Jan Dul |

Maintainer: | Govert Buijs <buijs at rsm.nl> |

License: | GPL (≥ 3) |

NeedsCompilation: | no |

CRAN checks: | NCA results |

Reference manual: | NCA.pdf |

Package source: | NCA_2.0.tar.gz |

Windows binaries: | r-devel: NCA_2.0.zip, r-release: NCA_2.0.zip, r-oldrel: NCA_2.0.zip |

OS X Mavericks binaries: | r-release: NCA_2.0.tgz, r-oldrel: NCA_2.0.tgz |

Old sources: | NCA archive |

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