Fixed package dependencies and import issues.

xts and zoo are still in Depends because xts 0.9-7 doesn't import zoo functions.

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: eventstudies
 Version: 1.2
-Date: 2015-04-09
+Date: 2017-06-28
 Type: Package
 Title: Event Study Analysis
 Authors@R: c(
@@ -18,11 +18,12 @@ Authors@R: c(
                           email = "[email protected]")
            )
 Maintainer: Chirag Anand <[email protected]>
-Depends: R (>= 3.0), zoo, xts, boot, testthat, sandwich
+Depends: R (>= 3.4), zoo, xts
 Description: An R package for conducting event studies and a platform
              for methodological research on event studies.
 VignetteBuilder: knitr
 Suggests: knitr
+Imports: boot, graphics, methods, testthat, sandwich, stats, utils
 License: GPL-2
 URL: https://github.com/nipfpmf/eventstudies
 BugReports: https://github.com/nipfpmf/eventstudies/issues/new

NAMESPACE

@@ -17,4 +17,10 @@ S3method(plot, amm)
 S3method(plot, es)
 S3method(plot, ees)
 
-import(boot, sandwich, testthat, xts, zoo)
+importFrom("graphics", "abline", "legend", "lines", "par", "plot",
+           "plot.default", "points")
+importFrom("methods", "formalArgs")
+importFrom("utils", "capture.output", "head", "tail")
+importFrom("boot", "boot", "boot.ci")
+
+import(sandwich, stats, testthat, xts, zoo)

R/eesInference.R

@@ -460,11 +460,11 @@ yearly.exevent.summary <- function(tmp){
   # Bad days
   tmp.bad.y <- apply.yearly(xts(tmp.bad),function(x)nrow(x))
   tmp.bad.y <- merge(tmp.bad.y,apply.yearly(xts(tmp.bad[,1]),function(x)median(x,na.rm=T)))
-  index(tmp.bad.y) <- as.yearmon(as.Date(substr(index(tmp.bad.y),1,4),"%Y"))
+  index(tmp.bad.y) <- zoo::as.yearmon(as.Date(substr(index(tmp.bad.y),1,4),"%Y"))
   # Good days
   tmp.good.y <- apply.yearly(xts(tmp.good),function(x)nrow(x))
   tmp.good.y <- merge(tmp.good.y,apply.yearly(xts(tmp.good[,1]),function(x)median(x,na.rm=T)))
-    index(tmp.good.y) <- as.yearmon(as.Date(substr(index(tmp.good.y),1,4),"%Y"))
+    index(tmp.good.y) <- zoo::as.yearmon(as.Date(substr(index(tmp.good.y),1,4),"%Y"))
   tmp.res <- merge(tmp.bad.y,tmp.good.y)
   colnames(tmp.res) <- c("total.events.l","median.value.l",
                          "total.events.u","median.value.u")

inst/CITATION

@@ -6,4 +6,4 @@ bibentry(bibtype = "Manual",
                     person("Ajay", "Shah")),
 organisation = "NIPFP, Macro/Finance group",
          year = 2014,
-         url = "http://CRAN.R-project.org/package=eventstudies")
+         url = "https://CRAN.R-project.org/package=eventstudies")