R: Causal Modeling with Coincidence Analysis

# Causal Modeling with Coincidence Analysis

## Documentation for package ‘cna’ version 4.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

cna-package | cna: A Package for Causal Modeling with Coincidence Analysis
allCombs | Generate the logically possible value configurations of a given set of factors
as.condTbl | Create summary tables for conditions
as.data.frame.condList | Methods for class "condList"
as.data.frame.condTbl | Create summary tables for conditions
as.data.frame.configTable | Transform a configuration table into a data frame
asf | Extract solutions from an object of class "cna"
cna | Perform Coincidence Analysis
cna-solutions | Extract solutions from an object of class "cna"
cnaControl | Fine-tuning and modifying the CNA algorithm
coherence | Calculate the coherence of complex solution formulas
coherence.cti | Calculate the coherence of complex solution formulas
coherence.default | Calculate the coherence of complex solution formulas
condition | Evaluate msc, asf, and csf on the level of cases/configurations in the data
condList | Evaluate msc, asf, and csf on the level of cases/configurations in the data
condList-methods | Methods for class "condList"
condList.character | Evaluate msc, asf, and csf on the level of cases/configurations in the data
condList.condTbl | Evaluate msc, asf, and csf on the level of cases/configurations in the data
condTbl | Create summary tables for conditions
configTable | Assemble cases with identical configurations into a configuration table
csf | Extract solutions from an object of class "cna"
ct2df | Transform a configuration table into a data frame
cyclic | Detect cyclic substructures in complex solution formulas (csf)
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
detailMeasures | Calculate summary measures for msc, asf, and csf
fs2cs | Convert fs data to cs data
full.ct | Generate the logically possible value configurations of a given set of factors
full.ct.condTbl | Generate the logically possible value configurations of a given set of factors
full.ct.configTable | Generate the logically possible value configurations of a given set of factors
full.ct.cti | Generate the logically possible value configurations of a given set of factors
full.ct.default | Generate the logically possible value configurations of a given set of factors
group.by.outcome | Methods for class "condList"
identical.model | Identify correctness-preserving submodel relations
is.inus | Check whether expressions in the syntax of CNA solutions have INUS form
is.submodel | Identify correctness-preserving submodel relations
makeFuzzy | Fuzzifying crisp-set data
minimalize | Eliminate logical redundancies from Boolean expressions
msc | Extract solutions from an object of class "cna"
print.cna | 'print' method for an object of class "cna"
print.cond | Evaluate msc, asf, and csf on the level of cases/configurations in the data
print.condList | Evaluate msc, asf, and csf on the level of cases/configurations in the data
print.condTbl | Create summary tables for conditions
print.configTable | Assemble cases with identical configurations into a configuration table
randomAsf | Generate random solution formulas
randomConds | Generate random solution formulas
randomCsf | Generate random solution formulas
selectCases | Select the cases/configurations compatible with a data generating causal structure
selectCases1 | Select the cases/configurations compatible with a data generating causal structure
showConCovMeasures | Show names and abbreviations of con/cov measures and details
showDetailMeasures | Show names and abbreviations of con/cov measures and details
showMeasures | Show names and abbreviations of con/cov measures and details
some | Randomly select configurations from a data frame or 'configTable'
some.configTable | Randomly select configurations from a data frame or 'configTable'
some.data.frame | Randomly select configurations from a data frame or 'configTable'
summary.condList | Methods for class "condList"