Causal Modeling with Coincidence Analysis

---

Documentation for package ‘cna’ version 3.5.6

• 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 all logically possible value configurations of a given set of factors
as.condTbl	Extract conditions and solutions from an object of class "cna"
as.data.frame.condList	Methods for class "condList"
asf	Extract conditions and solutions from an object of class "cna"
cna	Perform Coincidence Analysis
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	Uncover relevant properties of msc, asf, and csf in a data frame or 'configTable'
condition.condTbl	Uncover relevant properties of msc, asf, and csf in a data frame or 'configTable'
condition.default	Uncover relevant properties of msc, asf, and csf in a data frame or 'configTable'
condList-methods	Methods for class "condList"
condTbl	Extract conditions and solutions from an object of class "cna"
configTable	Assemble cases with identical configurations in a configuration table
csf	Extract conditions and 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
full.ct	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
minimalizeCsf	Eliminate structural redundancies from csf
minimalizeCsf.cna	Eliminate structural redundancies from csf
minimalizeCsf.default	Eliminate structural redundancies from csf
msc	Extract conditions and solutions from an object of class "cna"
print.cna	Perform Coincidence Analysis
print.cond	Uncover relevant properties of msc, asf, and csf in a data frame or 'configTable'
print.condList	Uncover relevant properties of msc, asf, and csf in a data frame or 'configTable'
print.condTbl	Extract conditions and solutions from an object of class "cna"
print.configTable	Assemble cases with identical configurations in a configuration table
randomAsf	Generate random solution formulas
randomConds	Generate random solution formulas
randomCsf	Generate random solution formulas
redundant	Identify structurally redundant asf in a csf
rreduce	Eliminate redundancies from a disjunctive normal form (DNF)
selectCases	Select the cases/configurations compatible with a data generating causal structure
selectCases1	Select the cases/configurations compatible with a data generating causal structure
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"