Package: cna 4.0.3

cna: Causal Modeling with Coincidence Analysis

Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2020) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures. Moreover, as of version 4.0, it is the only method of its kind that provides measures for model evaluation and selection that are custom-made for the problem of INUS-discovery.

Authors:Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]

cna_4.0.3.tar.gz
cna_4.0.3.zip(r-4.7)cna_4.0.3.zip(r-4.6)cna_4.0.3.zip(r-4.5)
cna_4.0.3.tgz(r-4.6-x86_64)cna_4.0.3.tgz(r-4.6-arm64)cna_4.0.3.tgz(r-4.5-x86_64)cna_4.0.3.tgz(r-4.5-arm64)
cna_4.0.3.tar.gz(r-4.7-arm64)cna_4.0.3.tar.gz(r-4.7-x86_64)cna_4.0.3.tar.gz(r-4.6-arm64)cna_4.0.3.tar.gz(r-4.6-x86_64)
cna_4.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cna/json (API)

# Install 'cna' in R:

install.packages('cna', repos = c('https://mathiasambuehl.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

d.autonomy - Emergence and endurance of autonomy of biodiversity institutions in Costa Rica
d.educate - Artificial data on education levels and left-party strength
d.highdim - Artificial data with 50 factors and 1191 cases
d.irrigate - Data on the impact of development interventions on water adequacy in Nepal
d.jobsecurity - Job security regulations in western democracies
d.minaret - Data on the voting outcome of the 2009 Swiss Minaret Initiative
d.pacts - Data on the emergence of labor agreements in new democracies between 1994 and 2004
d.pban - Party ban provisions in sub-Saharan Africa
d.performance - Data on combinations of industry, corporate, and business-unit effects
d.volatile - Data on the volatility of grassroots associations in Norway between 1980 and 2000
d.women - Data on high percentage of women's representation in parliaments of western countries

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

4.40 score 1 stars 3 packages 56 scripts 603 downloads 5 mentions 66 exports 70 dependencies

Last updated from:96968ff47a. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	242
linux-devel-x86_64	OK	268
source / vignettes	OK	316
linux-release-arm64	OK	264
linux-release-x86_64	OK	269
macos-release-arm64	OK	160
macos-release-x86_64	OK	309
macos-oldrel-arm64	OK	137
macos-oldrel-x86_64	OK	313
windows-devel	OK	185
windows-release	OK	223
windows-oldrel	OK	180
wasm-release	OK	245

Exports:.det .inus allCombs as.condTbl asf C_concat C_is_submodel C_mconcat C_recCharList2char C_redund C_relist_Int cna cnaControl coherence condition condList condTbl configTable cscna cscond csct csf ct2df ctInfo cyclic detailMeasures extract_asf fs2cs fscna fscond fsct full.ct getComplexity getCond getCondType group.by.outcome hstrsplit identical.model is.inus is.submodel lhs makeFuzzy matchCond minimalize minimalizeCsf msc mvcna mvcond mvct noblanks qcond_asf qcond_bool qcond_csf randomAsf randomCsf redundant relist1 rhs rreduce selectCases selectCases1 showConCovMeasures showDetailMeasures showMeasures some stdCond

Dependencies:abind backports boot broom car carData cli colorspace cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels matrixStats mgcv microbenchmark minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Introduction to the CNA method and package

Rendered fromcna.Rnwusingutils::Sweave

Last update: 2025-04-04
Started: 2021-05-28

Help page	Topics
cna: A Package for Causal Modeling with Coincidence Analysis	cna-package
Perform Coincidence Analysis	cna
Extract solutions from an object of class "cna"	asf cna-solutions csf msc
Fine-tuning and modifying the CNA algorithm	cnaControl
Calculate the coherence of complex solution formulas	coherence coherence.cti coherence.default
Evaluate msc, asf, and csf on the level of cases/configurations in the data	condition condList condList.character condList.condTbl print.cond print.condList
Methods for class "condList"	as.data.frame.condList condList-methods group.by.outcome summary.condList
Create summary tables for conditions	as.condTbl as.data.frame.condTbl condTbl print.condTbl
Assemble cases with identical configurations into a configuration table	configTable print.configTable
Transform a configuration table into a data frame	as.data.frame.configTable ct2df
Detect cyclic substructures in complex solution formulas (csf)	cyclic
Emergence and endurance of autonomy of biodiversity institutions in Costa Rica	d.autonomy
Artificial data on education levels and left-party strength	d.educate
Artificial data with 50 factors and 1191 cases	d.highdim
Data on the impact of development interventions on water adequacy in Nepal	d.irrigate
Job security regulations in western democracies	d.jobsecurity
Data on the voting outcome of the 2009 Swiss Minaret Initiative	d.minaret
Data on the emergence of labor agreements in new democracies between 1994 and 2004	d.pacts
Party ban provisions in sub-Saharan Africa	d.pban
Data on combinations of industry, corporate, and business-unit effects	d.performance
Data on the volatility of grassroots associations in Norway between 1980 and 2000	d.volatile
Data on high percentage of women's representation in parliaments of western countries	d.women
Calculate summary measures for msc, asf, and csf	detailMeasures
Convert fs data to cs data	fs2cs
Generate the logically possible value configurations of a given set of factors	allCombs full.ct full.ct.condTbl full.ct.configTable full.ct.cti full.ct.default
Check whether expressions in the syntax of CNA solutions have INUS form	is.inus
Identify correctness-preserving submodel relations	identical.model is.submodel
Fuzzifying crisp-set data	makeFuzzy
Eliminate logical redundancies from Boolean expressions	minimalize
'print' method for an object of class "cna"	print.cna
Generate random solution formulas	randomAsf randomConds randomCsf
Select the cases/configurations compatible with a data generating causal structure	selectCases selectCases1
Show names and abbreviations of con/cov measures and details	showConCovMeasures showDetailMeasures showMeasures
Randomly select configurations from a data frame or 'configTable'	some some.configTable some.data.frame

Package: cna 4.0.3

cna: Causal Modeling with Coincidence Analysis

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)