Other packages > Find by keyword >

NCA  

Necessary Condition Analysis
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]
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

bayesDP  
Implementation of the Bayesian Discount Prior Approach for Clinical Trials
Functions for data augmentation using the Bayesian discount prior method for single arm and two-arm ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
extraoperators  
Extra Binary Relational and Logical Operators
Speed up common tasks, particularly logical or relational comparisons and routine follow up tasks s ...
Download / Learn more Package Citations See dependency  
longit  
High Dimensional Longitudinal Data Analysis Using MCMC
High dimensional longitudinal data analysis with Markov Chain Monte Carlo(MCMC). Currently support ...
Download / Learn more Package Citations See dependency  
tidyxl  
Read Untidy Excel Files
Imports non-tabular from Excel files into R.Exposes cell content, position and formatting in a tidy ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA