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" |
asf |
Extract conditions and solutions from an object of class "cna" |
cna |
Perform Coincidence Analysis |
coherence |
Calculate the coherence of complex solution formulas |
condition |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
condition.condTbl |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
condition.default |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
condTbl |
Extract conditions and solutions from an object of class "cna" |
cscna |
Perform Coincidence Analysis |
cscond |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
csf |
Extract conditions and solutions from an object of class "cna" |
cstt |
Assemble cases with identical configurations in a truth table |
cyclic |
Detect cyclic substructures in complex solution formulas (csf) |
d.autonomy |
Emergence and endurance of autonomy of biodiversity institutions in Costa Rica |
d.educate |
Artifical data on education levels and left-party strength |
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 represention in parliaments of western countries |
fscna |
Perform Coincidence Analysis |
fscond |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
fstt |
Assemble cases with identical configurations in a truth table |
full.tt |
Generate all logically possible value configurations of a given set of factors |
full.tt.default |
Generate all logically possible value configurations of a given set of factors |
full.tt.truthTab |
Generate all logically possible value configurations of a given set of factors |
full.tt.tti |
Generate all logically possible value configurations of a given set of factors |
group.by.outcome |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
identical.model |
Identify correctness-preserving submodel relations |
is.inus |
Test disjunctive normal forms for logical redundancies |
is.submodel |
Identify correctness-preserving submodel relations |
makeFuzzy |
Generate fuzzy-set data by simulating noise |
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" |
mvcna |
Perform Coincidence Analysis |
mvcond |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
mvtt |
Assemble cases with identical configurations in a truth table |
print.cna |
Perform Coincidence Analysis |
print.cond |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
print.condList |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
print.condTbl |
Extract conditions and solutions from an object of class "cna" |
print.minimalizeCsf |
Eliminate structural redundancies from csf |
print.truthTab |
Assemble cases with identical configurations in a truth table |
randomAsf |
Generate random solution formulas |
randomConds |
Generate random solution formulas |
randomCsf |
Generate random solution formulas |
redundant |
Identify structurally redundant asf in a csf |
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 'truthTab' |
some.data.frame |
Randomly select configurations from a data frame or 'truthTab' |
some.truthTab |
Randomly select configurations from a data frame or 'truthTab' |
summary.condList |
Uncover relevant properties of msc, asf, and csf in a data frame or 'truthTab' |
truthTab |
Assemble cases with identical configurations in a truth table |
tt2df |
Transform a truth table into a data frame |