diff --git a/DESCRIPTION b/DESCRIPTION index 25745e5..031a1ae 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: dfms -Version: 0.3.0 +Version: 0.3.1 Title: Dynamic Factor Models Authors@R: c(person("Sebastian", "Krantz", role = c("aut", "cre"), email = "sebastian.krantz@graduateinstitute.ch"), person("Rytis", "Bagdziunas", role = "aut"), @@ -16,7 +16,7 @@ Description: Efficient estimation of Dynamic Factor Models using the Expectation A comprehensive set of methods supports interpretation and visualization of the model as well as forecasting. Information criteria to choose the number of factors are also provided - following Bai and Ng (2002) . -URL: https://sebkrantz.github.io/dfms/ +URL: https://sebkrantz.github.io/dfms/, https://github.com/SebKrantz/dfms BugReports: https://github.com/SebKrantz/dfms/issues Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.1), collapse (>= 2.0.0) diff --git a/NEWS.md b/NEWS.md index 3a6940e..882c627 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,7 @@ +# dfms 0.3.1 + +* Fixed bug which occurred with only one quarterly variable (#73). Thanks @SantiagoD999 for reporting. + # dfms 0.3.0 * Added argument `quarterly.vars`, enabling mixed-frequency estimation with monthly and quarterly data following Banbura and Modugno (2014). The data matrix should contain the quarterly variables at the end (after the monthly ones).