docs: ready for release (v1.0.0)

gisler · May 2, 2022 · 315f8f5 · 315f8f5
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -2,7 +2,7 @@ Package: DTSg
 Type: Package
 Title: A Class for Working with Time Series Data Based on 'data.table' and 'R6'
     with Largely Optional Reference Semantics
-Version: 0.8.1.9000
+Version: 1.0.0
 Authors@R: person("Gerold", "Hepp", email = "ghepp@iwag.tuwien.ac.at", role = c("aut", "cre"))
 Description: Basic time series functionalities such as listing of missing
     values, application of arbitrary aggregation as well as rolling (asymmetric)

diff --git a/NEWS.md b/NEWS.md
@@ -1,4 +1,4 @@
-# DTSg v0.8.1.9000
+# DTSg v1.0.0
 
 * Added `funbyApproach` argument to `new()`, `aggregate()`, `colapply()` and `subset()` methods: allows for specifying the flavour of the applied temporal aggregation level functions (either `"base"` utilising `as.POSIXct()` or `"fasttime"` utilising `fasttime::fastPOSIXct()` or `"RcppCCTZ"` utilising `RcppCCTZ::parseDatetime()` as the main function for transforming timestamps). Custom approaches for user defined TALFs are also possible. Please note that the `byFasttime*` versions of the TALFs are now deprecated. Use this argument from now on instead
 * Added `funbyApproach` also to the `list` of helper data (`funbyHelpers` argument) passed on to TALFs