fin_wrapper {mpower}

Fits a Bayesian factor model with interactions

Description

Fits a Bayesian factor model with interactions

Usage

fin_wrapper(y, x, args = list(nrun = 2000))

Arguments

y

A vector of outcome

x

A matrix of predictors

args

A list of arguments see R function ‘infinitefactor::interactionDL()' in ’infinitefactor' package.

Value

A list of vectors whose values are between 0 and 1

beta

The smallest posterior probability of the coefficients being to one side of zero for either main effect or interaction: min(Pr(beta >0), Pr(beta<0)).

linear_beta

The smaller of posterior probability of the main effects being to one side of zero.

interact_beta

Same as linear_beta but for pair-wise interactions.

time

elapsed time to fit the model.

Reference

Ferrari F, Dunson DB (2020). “Bayesian factor analysis for inference on interactions.”Journal of the American Statistical Association, 0(0), 1–12.