Prepare for CRAN

CITATION.cff

@@ -8,7 +8,7 @@ message: 'To cite package "tidyBdE" in publications use:'
 type: software
 license: GPL-3.0-or-later
 title: 'tidyBdE: Download Data from Bank of Spain'
-version: 0.2.5.9000
+version: 0.3.0
 doi: 10.5281/zenodo.4673496
 abstract: Tools to download data series from 'Banco de España' ('BdE') on 'tibble'
   format. 'Banco de España' is the national central bank and, within the framework
@@ -32,7 +32,7 @@ preferred-citation:
     affiliation: rOpenSpain
   doi: 10.5281/zenodo.4673496
   year: '2022'
-  version: 0.2.5.9000
+  version: 0.3.0
   url: https://ropenspain.github.io/tidyBdE/
   abstract: Tools to download data series from Banco de España (BdE) on tibble format.
     Banco de España is the national central bank and, within the framework of the
@@ -91,6 +91,7 @@ references:
     given-names: Kirill
     orcid: https://orcid.org/0000-0002-1416-3412
   year: '2022'
+  url: https://CRAN.R-project.org/package=dplyr
   version: '>= 0.7.0'
 - type: software
   title: ggplot2
@@ -125,6 +126,7 @@ references:
     given-names: Dewey
     orcid: https://orcid.org/0000-0002-9415-4582
   year: '2022'
+  url: https://CRAN.R-project.org/package=ggplot2
   version: '>= 3.3.0'
 - type: software
   title: readr
@@ -141,6 +143,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0002-6983-2759
   year: '2022'
+  url: https://CRAN.R-project.org/package=readr
   version: '>= 1.0.0'
 - type: software
   title: scales
@@ -153,6 +156,7 @@ references:
   - family-names: Seidel
     given-names: Dana
   year: '2022'
+  url: https://CRAN.R-project.org/package=scales
   version: '>= 1.1.0'
 - type: software
   title: tibble
@@ -166,6 +170,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=tibble
   version: '>= 3.0.0'
 - type: software
   title: utils
@@ -189,7 +194,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-0645-5666
   year: '2022'
-  url: https://yihui.org/knitr/
+  url: https://CRAN.R-project.org/package=knitr
 - type: software
   title: rmarkdown
   abstract: 'rmarkdown: Dynamic Documents for R'
@@ -228,6 +233,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-3925-190X
   year: '2022'
+  url: https://CRAN.R-project.org/package=rmarkdown
 - type: software
   title: testthat
   abstract: 'testthat: Unit Testing for R'
@@ -237,6 +243,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=testthat
   version: '>= 3.0.0'
 - type: software
   title: tidyverse
@@ -247,4 +254,5 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=tidyverse
   version: '>= 1.3.0'

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: tidyBdE
 Title: Download Data from Bank of Spain
-Version: 0.2.5.9000
+Version: 0.3.0
 Authors@R: 
     person("Diego", "H. Herrero", , "[email protected]", role = c("aut", "cre", "cph"),
            comment = c(ORCID = "0000-0001-8457-4658", affiliation = "rOpenSpain"))

NEWS.md

@@ -1,4 +1,4 @@
-# tidyBdE (development version)
+# tidyBdE 0.3.0
 
 -   Overall improvements on downloading files:
 

README.md

@@ -47,7 +47,6 @@ Alternatively, you can install the developing version of **tidyBdE**
 using the [r-universe](https://ropenspain.r-universe.dev/ui#builds):
 
 ``` r
-
 # Enable this universe
 options(repos = c(
   ropenspain = "https://ropenspain.r-universe.dev",
@@ -68,7 +67,6 @@ The basic entry point for searching time-series are the catalogs
 (*indexes*) of information. You can search any series by name:
 
 ``` r
-
 library(tidyBdE)
 
 # Load tidyverse for better handling
@@ -98,7 +96,6 @@ exchange rate using the sequential number reference
 
 ``` r
 
-
 seq_number <- XR_GBP %>%
   # First record
   slice(1) %>%
@@ -119,7 +116,6 @@ The package also provides a custom `ggplot2` theme based on the
 publications of BdE:
 
 ``` r
-
 ggplot(time_series, aes(x = Date, y = EUR_GBP_XR)) +
   geom_line(colour = bde_vivid_pal()(1)) +
   geom_smooth(method = "gam", colour = bde_vivid_pal()(2)[2]) +
@@ -148,7 +144,6 @@ of the most relevant macroeconomic series, so there is no need to look
 for them in advance:
 
 ``` r
-
 gdp <- bde_ind_gdp_var("values")
 gdp$label <- "GDP YoY"
 
@@ -179,14 +174,12 @@ available.
 
 ``` r
 
-
 scales::show_col(bde_rose_pal()(6))
 ```
 
 <img src="man/figures/README-palettes-1.png" width="100%" />
 
 ``` r
-
 scales::show_col(bde_vivid_pal()(6))
 ```
 
@@ -253,7 +246,7 @@ A BibTeX entry for LaTeX users is
       doi = {10.5281/zenodo.4673496},
       author = {Diego {H. Herrero}},
       year = {2022},
-      version = {0.2.5.9000},
+      version = {0.3.0},
       url = {https://ropenspain.github.io/tidyBdE/},
       abstract = {Tools to download data series from Banco de España (BdE) on tibble format. Banco de España is the national central bank and, within the framework of the Single Supervisory Mechanism (SSM), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by Banco de España.},
     }

codemeta.json

@@ -8,13 +8,13 @@
   "codeRepository": "https://github.com/rOpenSpain/tidyBdE",
   "issueTracker": "https://github.com/rOpenSpain/tidyBdE/issues",
   "license": "https://spdx.org/licenses/GPL-3.0",
-  "version": "0.2.5.9000",
+  "version": "0.3.0",
   "programmingLanguage": {
     "@type": "ComputerLanguage",
     "name": "R",
     "url": "https://r-project.org"
   },
-  "runtimePlatform": "R version 4.2.1 (2022-06-23)",
+  "runtimePlatform": "R version 4.2.1 (2022-06-23 ucrt)",
   "provider": {
     "@id": "https://cran.r-project.org",
     "@type": "Organization",
@@ -181,7 +181,7 @@
   },
   "applicationCategory": "Macroeconomics",
   "isPartOf": "https://ropenspain.es/",
-  "fileSize": "12022.582KB",
+  "fileSize": "779.511KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",