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Functions for automatically performing a reanalysis series on a data
set using cna::cna(), and for calculating the
fit-robustness of the resulting models, as described in Parkkinen and
Baumgartner (2021):
https://journals.sagepub.com/doi/full/10.1177/0049124120986200.
In the most common use case, one wants to obtain a set of models and
their respective fit-robustness scores given a range of consistency and
coverage values that determine a reanalysis series of the data set of
interest. The function frscored_cna() runs the reanalysis
series on a data set and calculates the fit-robustness scores of the
recovered models in one go. If one only wishes to repeatedly analyze a
data set with different consistency and coverage thresholds in a given
range, rean_cna() automates this. If one wishes to
calculate the fit-robustness scores for an existing set of models, or
simply count (causal) sub- and supermodel relations in a set of models
for any reason, frscore() does this.
causal_submodel() is a generalization of
cna::is.submodel() that checks whether all causal relevance
ascriptions, rather than only ascriptions of direct causation, made by
one model are contained in another model. causal_submodel()
is used by default in frscored_cna() and
frscore() to calculate fr-scores, but the user can change
this to cna::is.submodel() to obtain a moderate speed
improvement if needed.
Have a look at the NEWS for information about recent changes and developments.
# latest version on CRAN
install.packages("frscore")library(frscore)
frsc <- frscored_cna(selectCases("A+B+F*g<->R"))
frsc
rean_cna(ct2df(selectCases("A+B+F*g<->R")), attempt = seq(1, 0.7, -0.1))
res <- rean_cna(selectCases("A+B+F*g<->R"), attempt = seq(1, 0.7, -0.1))
res <- do.call(rbind, res)
fr <- frscore(res[,2])
fr
target <- "(A+B<->C)*(C+D<->E)"
candidate <- "A+B<->E"
causal_submodel(candidate, target)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.