BF from multiple regression summary stats
I would like to use the Summary Stats function for Bayesian linear regression to obtain Bayes Factors for published studies. The required inputs are number of covariates and R-squared for both null and alternative models, which are usually obtainable when studies performed hierarchical regression.
However, when multiple regression was performed, more commonly, only standardized betas, t- and p-values are reported for the individual predictors. When R-squared is reported, it is usually for the overall model. If I would like to calculate the BF of the relationship between a predictor of interest and the dependent variable over and above covariates of non-interest, would it appropriate if I use the Bayesian one-sample t-test instead? Or is it possible to somehow compute the R-squared from standardized betas, t- and p-values?
Thanks so much in advance!