set up uninformative prior
set_prior_uninformative(mydata = NULL, factordata = NULL, no_factors = 0, nolags = 1, intercept = TRUE)
| mydata | data |
|---|---|
| factordata | data for factor models (not yet implemented) |
| no_factors | number of factors (not yet implemented) |
| nolags | number of lags |
| intercept | whether the model has an intercept |
returns an S3 object of the class "unf"
K. Rao Kadiyala and Sune Karlsson, Numerical Methods for Estimation and Inference in Bayesian VAR-Models, Journal of Applied Econometrics 12(2), 99-132
Gary Koop and Dimitris Korobilis (2010), Bayesian Multivariate Time Series Methods for Empirical Macroeconomics, Foundations and Trends in Econometrics 3(4), 267-358