From 4c79e7872cccd248d66563ef4b35b20daf60fb8c Mon Sep 17 00:00:00 2001 From: Anna SMYK Date: Sun, 5 May 2024 13:51:09 +0200 Subject: [PATCH] descp file and readme update --- DESCRIPTION | 28 ++++++++++++---------- README.Rmd | 15 ++++++------ README.md | 19 ++++++++------- man/figures/README-confint-plot-1.png | Bin 43386 -> 6957 bytes man/figures/README-diagnostic-plots-1.png | Bin 61570 -> 9255 bytes man/figures/README-mm-plots-1.png | Bin 47732 -> 7925 bytes man/figures/README-plot-forecast-1.png | Bin 46828 -> 8069 bytes man/figures/README-plot-global-1.png | Bin 40300 -> 6934 bytes man/figures/README-plot-q0-1.png | Bin 53149 -> 8425 bytes 9 files changed, 33 insertions(+), 29 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 3688ed5..465c735 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,26 +1,28 @@ Package: rjd3filters Type: Package -Title: Trend-Cycle Extraction with Linear Filters +Title: Trend-Cycle Extraction with Linear Filters based on JDemetra+ v3.x Version: 2.1.1 Authors@R: c( person("Jean", "Palate", role = c("aut"), - email = "jean.palate@nbb.be"), - person("Alain", "Quartier-la-Tente", role = c("aut", "cre"), - email = "alain.quartier@yahoo.fr", - comment = c(ORCID = "0000-0001-7890-3857")) - ) + email = "palatejean@gmail.com"), + person("Alain", "Quartier-la-Tente", role = c("aut"), + email = "alain.quartier@yahoo.fr", + comment = c(ORCID = "0000-0001-7890-3857")), + person("Tanguy", "Barthelemy", role = c("aut","cre"), + email ="tanguy.barthelemy@insee.fr"), + person("Anna", "Smyk", role = c("aut"), + email ="anna.smyk@insee.fr") + ) Description: This package provides functions to build and apply symmetric and asymmetric moving averages (= linear filters) for trend-cycle extraction. - In particular, it implements several moderns approaches for real-time estimates + In particular, it implements several modern approaches for real-time estimates from the viewpoint of revisions and time delay in detecting turning points. It includes the local polynomial approach of Proietti and Luati (2008), the Reproducing Kernel Hilbert Space (RKHS) of Dagum and Bianconcini (2008) and the Fidelity-Smoothness-Timeliness approach of Grun-Rehomme, Guggemos, and Ladiray (2018). - It is based on Java libraries developped around 'JDemetra+' (), - the seasonal adjustment software officially recommended to the members - of the European Statistical System (ESS) and the European System of Central Banks. + It is based on Java libraries developped in 'JDemetra+' (), time series analysis software. Depends: - R (>= 3.6.0) + R (>= 4.1.0) Imports: rJava (>= 1.0-6), methods, @@ -29,11 +31,11 @@ Imports: stats, rjd3toolkit (>= 3.2.2) Remotes: - github::rjdemetra/rjd3toolkit + github::rjdverse/rjd3toolkit SystemRequirements: Java (>= 17) License: EUPL LazyData: TRUE -URL: https://github.com/rjdemetra/rjd3filters, https://rjdemetra.github.io/rjd3filters/ +URL: https://github.com/rjdverse/rjd3filters, https://rjdverse.github.io/rjd3filters/ Suggests: knitr, rmarkdown diff --git a/README.Rmd b/README.Rmd index d31c419..00cb68b 100644 --- a/README.Rmd +++ b/README.Rmd @@ -16,7 +16,7 @@ knitr::opts_chunk$set( # rjd3filters -rjd3filters is R package on linear filters for real-time trend-cycle estimates. +rjd3filters is an R package on linear filters for real-time trend-cycle estimates. It allows to create symmetric and asymmetric moving averages with: - local polynomial filters, as defined by Proietti and Luati (2008); @@ -29,15 +29,16 @@ Some quality criteria defined by Wildi and McElroy (2019) can also be computed. ## Installation -rjd3filters relies on the [rJava](https://CRAN.R-project.org/package=rJava) package and running rjd3 packages requires Java 17 or higher. -If you have troubles with the installation, check the [installation manual of `RJDemetra`](https://github.com/jdemetra/rjdemetra/wiki/Installation-manual). +rjd3filters relies on the [rJava](https://CRAN.R-project.org/package=rJava) package. + +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) To get the current stable version (from the latest release): ```{r, eval = FALSE} # install.packages("remotes") -remotes::install_github("rjdemetra/rjd3toolkit@*release") -remotes::install_github("rjdemetra/rjd3filters@*release") +remotes::install_github("rjdverse/rjd3toolkit@*release") +remotes::install_github("rjdverse/rjd3filters@*release") ``` To get the current development version from GitHub: @@ -45,8 +46,8 @@ To get the current development version from GitHub: ```{r, eval = FALSE} # install.packages("remotes") # Install development version from GitHub -remotes::install_github("rjdemetra/rjd3toolkit") -remotes::install_github("rjdemetra/rjd3filters") +remotes::install_github("rjdverse/rjd3toolkit") +remotes::install_github("rjdverse/rjd3filters") ``` diff --git a/README.md b/README.md index e2f8643..b991fa7 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ # rjd3filters -rjd3filters is R package on linear filters for real-time trend-cycle +rjd3filters is an R package on linear filters for real-time trend-cycle estimates. It allows to create symmetric and asymmetric moving averages with: @@ -22,17 +22,18 @@ computed. ## Installation rjd3filters relies on the -[rJava](https://CRAN.R-project.org/package=rJava) package and running -rjd3 packages requires Java 17 or higher. If you have troubles with the -installation, check the [installation manual of -`RJDemetra`](https://github.com/jdemetra/rjdemetra/wiki/Installation-manual). +[rJava](https://CRAN.R-project.org/package=rJava) package. + +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) To get the current stable version (from the latest release): ``` r # install.packages("remotes") -remotes::install_github("rjdemetra/rjd3toolkit@*release") -remotes::install_github("rjdemetra/rjd3filters@*release") +remotes::install_github("rjdverse/rjd3toolkit@*release") +remotes::install_github("rjdverse/rjd3filters@*release") ``` To get the current development version from GitHub: @@ -40,8 +41,8 @@ To get the current development version from GitHub: ``` r # install.packages("remotes") # Install development version from GitHub -remotes::install_github("rjdemetra/rjd3toolkit") -remotes::install_github("rjdemetra/rjd3filters") +remotes::install_github("rjdverse/rjd3toolkit") +remotes::install_github("rjdverse/rjd3filters") ``` ## Basic example diff --git a/man/figures/README-confint-plot-1.png b/man/figures/README-confint-plot-1.png index 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