Stan Models for the Paired Comparison Factor Model
Determine the optimal scale constant for a set of items
Item response function for pairwise comparisons
Filter graph to remove vertices that are not well connected
Given a model name, return stanmodel object
Generate paired comparison data with random correlations between items
Generate paired comparison data for a factor model
Generate paired comparison data for one or more items given absolute l...
Generate paired comparison data with a common factor that accounts for...
A Shiny app to experiment with the item response model
Normalize data according to a canonical order
List observations with Pareto values larger than a given threshold
Produce data suitable for plotting parameter distributions
Produce data suitable for plotting parameter estimates
Stan Models for the Pairwise Comparison Factor Model
Fit a paired comparison Stan model
Physical activity flow propensity
Transforms data into a form tailored for efficient evaluation by Stan
Transforms data into a form tailored for efficient evaluation by Stan
Specify a factor model
Specify a single factor model
Produce data suitable for plotting item response curves
Create an edge list with round-robin connectivity
Compute approximate leave-one-out (LOO) cross-validation for Bayesian ...
Create an edge list with a random two level connectivity
Turn a factor back into a vector of integers
Remove the array indexing from a parameter name
Provides convenience functions and pre-programmed Stan models related to the paired comparison factor model. Its purpose is to make fitting paired comparison data using Stan easy. This package is described in Pritikin (2020) <doi:10.1016/j.heliyon.2020.e04821>.
Useful links