fpsim:
Compute Measures of Foreign Policy Similarity/Agreement
{fpsim} offers some tools for calculating some common
measures of dyadic foreign policy similarity, like Cohen’s weighted
kappa, Signorino and Ritter’s s, and Scott’s pi. The audience this
package intends to reach is an audience interested in international
relations and questions of how much two countries have foreign policy
priorities that are similar or dissimilar to each other. However, the
metrics borrow heavily from psychology and some of their fundamental
methodological questions in psychometrics. How can we measure the extent
to which two individuals agree or disagree? Are associated with each
other or are disassociated from each other? Are close or far apart?
These statistics from the domain of psychometrics are placed on measures
of dyadic foreign policy similarity, either in alliance portfolios or
votes in the United Nations General Assembly. The tools offered here can
compute such statistics on a case-by-case basis or serve as a means for
students to learn how they are calculated. External data of the universe
of measures of dyadic foreign policy similarity will be available on
demand.
Versions of the package on CRAN can be downloaded like any other package.
install.packages("fpsim")You can also install the development version of {fpsim}
from Github via the {devtools} package. I suppose using the
{remotes} package would work as well.
devtools::install_github("svmiller/fpsim")