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NCA
View on CRAN: Click
here
Download and install NCA package within the R console
Install from CRAN:
install.packages("NCA")
Install from Github:
library("remotes")
install_github("cran/NCA")
Install by package version:
library("remotes")
install_version("NCA", "4.0.2")
Attach the package and use:
library("NCA")
Maintained by
Govert Buijs
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-02
Latest Update: 2024-02-23
Description:
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, 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: or .
How to cite:
Govert Buijs (2015). NCA: Necessary Condition Analysis. R package version 4.0.2, https://cran.r-project.org/web/packages/NCA. Accessed 01 Feb. 2025.
Previous versions and publish date:
1.0 (2015-07-02 13:42), 1.1 (2015-10-10 22:52), 2.0 (2016-05-18 17:29), 3.0.1 (2018-08-21 21:10), 3.0.2 (2019-11-22 18:10), 3.0.3 (2020-06-11 11:10), 3.0 (2018-08-01 11:30), 3.1.0 (2021-03-02 21:50), 3.1.1 (2021-05-03 09:50), 3.2.0 (2022-04-05 15:52), 3.2.1 (2022-09-15 11:10), 3.3.0 (2023-02-06 14:32), 3.3.1 (2023-02-10 10:40), 3.3.2 (2023-06-27 12:30), 3.3.3 (2023-09-05 11:30), 4.0.0 (2024-02-16 15:00), 4.0.1 (2024-02-23 10:30)
Other packages that cited NCA R package
View NCA citation profile
Other R packages that NCA depends,
imports, suggests or enhances
Complete documentation for NCA
Functions, R codes and Examples using
the NCA R package
Some associated functions: NCA-package . ceilings . line.colors . line.types . line.width . nca.example . nca.example2 . nca . nca_analysis . nca_outliers . nca_output . point.color . point.type .
Some associated R codes: nca.R . nca_bottleneck.R . nca_outliers.R . nca_output.R . nca_plotly.R . nca_plots.R . nca_summary.R . nca_tests.R . onAttach.R . p_above.R . p_bottleneck.R . p_bottleneck_table.R . p_ceiling.R . p_confidence.R . p_constants.R . p_fit.R . p_graphics.R . p_ineffs.R . p_loop_data.R . p_nca_c_lp.R . p_nca_ce_cm.R . p_nca_ce_cm_conf.R . p_nca_ce_fdh.R . p_nca_ce_fdhi.R . p_nca_ce_lfdh.R . p_nca_ce_vrs.R . p_nca_cols.R . p_nca_cr_cm.R . p_nca_cr_cm_conf.R . p_nca_cr_fdh.R . p_nca_cr_fdhi.R . p_nca_cr_vrs.R . p_nca_ct_fdh.R . p_nca_lh.R . p_nca_ols.R . p_nca_qr.R . p_nca_sfa.R . p_peers.R . p_scope.R . p_utils.R . p_validate.R . Full NCA package functions and examples
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