Update author information

DESCRIPTION

@@ -2,7 +2,7 @@ Package: bvartools
 Title: Bayesian Inference of Vector Autoregressive and Error Correction Models
 Version: 0.2.2.9002
 Date: 2023-07-23
-Authors@R: person(c("Franz", "X."), "Mohr", email = "bvartools@outlook.com", role = c("aut","cre"))
+Authors@R: person(c("Franz", "X."), "Mohr", email = "franz.x.mohr@outlook.com", role = c("aut","cre"), comment = c(ORCiD = "0009-0003-8890-7781"))
 Description: Assists in the set-up of algorithms for Bayesian inference of vector autoregressive (VAR) and error correction (VEC) models. Functions for posterior simulation, forecasting, impulse response analysis and forecast error variance decomposition are largely based on the introductory texts of Chan, Koop, Poirier and Tobias (2019, ISBN: 9781108437493), Koop and Korobilis (2010) <doi:10.1561/0800000013> and Luetkepohl (2006, ISBN: 9783540262398).
 License: GPL (>= 2)
 Depends: R (>= 3.4.0), coda

R/RcppExports.R

@@ -812,5 +812,5 @@ ssvs <- function(a, tau0, tau1, prob_prior, include = NULL) {
 
 # Register entry points for exported C++ functions
 methods::setLoadAction(function(ns) {
-    .Call('_bvartools_RcppExport_registerCCallable', PACKAGE = 'bvartools')
+    .Call(`_bvartools_RcppExport_registerCCallable`)
 })