Merge pull request #27 from annasmyk/develop

descp file and readme update

DESCRIPTION

@@ -1,15 +1,13 @@
 Package: rjd3highfreq
 Type: Package
-Title: Seasonal Adjustment of High Frequency Data with 'JDemetra+ 3.0'
+Title: Seasonal Adjustment of High Frequency Data with 'JDemetra+ 3.x'
 Version: 2.1.1
 Authors@R: c(
   person("Jean", "Palate", role = c("aut", "cre"),
-                email = "jean.palate@nbb.be"))
-Description: Interface around 'JDemetra+ 3.x' (<https://github.com/jdemetra/jdemetra-core>) seasonal adjustment software, STACE project.
- It offers access to several functions around the seasonal adjustment of high frequency data time series: 
- STL, Loess, fractional airline and extension of X-11.
+                email = "palatejean@gmail.com"))
+Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions for seasonal adjustment of high-frequency data displaying multiple, non integer periodicities. Pre-adjustment with extended airline model and Arima Model Based decomposition.
 Depends:
-  R (>= 3.6.0)
+  R (>= 4.1.0)
 Imports:
   rJava (>= 1.0-6),
   RProtoBuf (>= 0.4.17),

README.Rmd

@@ -20,12 +20,12 @@ knitr::opts_chunk$set(
 <!-- badges: start -->
 <!-- badges: end -->
 
-High-frequency time series
+rjd3highfreq provides functions for seasonal adjustment of high-frequency data displaying multiple, non integer periodicities. Pre-adjustment with extended airline model and Arima Model Based decomposition.
 
 
 ## Installation
 
-Running rjd3 packages requires Java 17 or higher. How to set up such a configuration in R is explained [here](https://jdemetra-new-documentation.netlify.app/#installing-the-software) 
+Running rjd3 packages requires **Java 17 or higher**. How to set up such a configuration in R is explained [here](https://jdemetra-new-documentation.netlify.app/#Rconfig)
 
 You can install the development version of **rjd3highfreq** from [GitHub](https://github.com/) with:
 
@@ -50,7 +50,7 @@ df_daily <- read.csv2("https://github.com/TanguyBarthelemy/Tsace_
 # Creation of log variables to multiplicative model
 df_daily$log_births <- log(df_daily$births)
 df_daily$date <- as.Date(df_daily$date)
-```
+``` 
 
 
 Plot of the raw series:

README.md

@@ -6,10 +6,17 @@
 <!-- badges: start -->
 <!-- badges: end -->
 
-High-frequency time series
+rjd3highfreq provides functions for seasonal adjustment of
+high-frequency data displaying multiple, non integer periodicities.
+Pre-adjustment with extended airline model and Arima Model Based
+decomposition.
 
 ## Installation
 
+Running rjd3 packages requires **Java 17 or higher**. How to set up such
+a configuration in R is explained
+[here](https://jdemetra-new-documentation.netlify.app/#Rconfig)
+
 You can install the development version of **rjd3highfreq** from
 [GitHub](https://github.com/) with: