From 315f8f55b91d0c02392158648e56ab5ae0249d89 Mon Sep 17 00:00:00 2001 From: gisler Date: Mon, 2 May 2022 21:07:30 +0200 Subject: [PATCH] docs: ready for release (v1.0.0) --- DESCRIPTION | 2 +- NEWS.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index a8bdbb7..b9f8aae 100644 --- 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 index fada1f9..33f56cf 100644 --- 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