ipbridging
PackageTzu-Ping Liu (UC Davis) Gento Kato (UC Davis) Sam Fuller (UC Davis)
Bridging Ideal Point Estimates. This package provides parametric and non-parametric methods to bridge ideal point estimates generated from two separate data sets. The package website is published HERE.
oc
packageCAUTION! As of January 2020, one of the dependencies, oc
package is archived from CRAN.
If you don't already have oc
package, you can install the latest version of archived oc
package using following codes:
install.packages("https://cran.r-project.org/src/contrib/Archive/oc/oc_1.01.tar.gz", repos=NULL, type="source")
Alternatively, you could install oc
package from github CRAN mirror:
devtools::install_github("cran/oc")
ooc
packageCAUTION! May need the first line to avoid error in installation due to warnings.
Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS=TRUE)
devtools::install_github("tzuliu/ooc")
ipbridging
packageAfter successfully installing oc
and ooc
package, you can install the ipbridging
package by:
Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS=TRUE)
devtools::install_github("gentok/ipbridging")
ipbridging
: The main function from this package. It implements various methods to bridge ideal point estimates generated from two data sets.ipest
: The toolbox function to compute ideal points through various methods, including, but not limited to OC (Optimal Classification), OOC (Ordered Optimal Classification), W-NOMINATE, Bayesian IRT, and Blackbox scaling.oocflex
: The implementation of Ordered Optimal Classification (OOC) with flexible estimation strategies. This function is the modified version of ooc
function in ooc package.setanchors
: This function selects anchor cases from two separate datasets, and prepare two datasets that contain anchors. Used in the part of ipbridging
.bridge.linearmap
: The implementation of ideal points bridging through linear transformation methods. Used in the part of ipbridging
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