Fix use of internet resource (API) CRAN policy

CRAN-RELEASE

@@ -1,2 +1,2 @@
 This package was submitted to CRAN on 2021-07-19.
-Once it is accepted, delete this file and tag the release (commit cafc031).
+Once it is accepted, delete this file and tag the release (commit 67ae331).

R/get_annual.R

@@ -23,6 +23,7 @@
 #' @examples
 #' df <- get_annual(
 #'   indicator = "IPCA",
+#'   first_date = Sys.Date() - 30,
 #'   reference_date = format(Sys.Date(), "%Y"),
 #'   use_memoise = FALSE
 #' )

R/get_annual_top5.R

@@ -26,6 +26,7 @@
 #' @examples
 #' df <- get_annual_top5(
 #'   indicator = "IPCA",
+#'   first_date = Sys.Date() - 30,
 #'   reference_date = format(Sys.Date(), "%Y"),
 #'   use_memoise = FALSE
 #' )

R/get_inflation_12m.R

@@ -20,6 +20,7 @@
 #' @examples
 #' df <- get_inflation_12m(
 #'   indicator = "IPCA",
+#'   first_date = Sys.Date() - 30,
 #'   smoothed = "yes",
 #'   use_memoise = FALSE
 #' )

R/get_monthly.R

@@ -20,6 +20,7 @@
 #' @examples
 #' df <- get_monthly(
 #'   indicator = "IPCA",
+#'   first_date = Sys.Date() - 30,
 #'   reference_date = format(Sys.Date(), "%m/%Y"),
 #'   use_memoise = FALSE
 #' )

R/get_monthly_top5.R

@@ -23,6 +23,7 @@
 #' @examples
 #' df <- get_monthly_top5(
 #'   indicator = "IPCA",
+#'   first_date = Sys.Date() - 30,
 #'   reference_date = format(Sys.Date(), "%m/%Y"),
 #'   use_memoise = FALSE
 #' )

R/get_quarterly.R

@@ -20,6 +20,7 @@
 #' @examples
 #' df <- get_quarterly(
 #'   indicator = "PIB Total",
+#'   first_date = Sys.Date() - 30,
 #'   reference_date = paste0(lubridate::quarter(Sys.Date()), "/",
 #'                           lubridate::year(Sys.Date())
 #'                           ),

README.Rmd

@@ -25,7 +25,7 @@ knitr::opts_chunk$set(
 [![CRAN downloads](http://cranlogs.r-pkg.org/badges/grand-total/meedr?color=green)](https://cran.r-project.org/package=meedr)
 <!-- badges: end -->
 
-The goal of **meedr** is to provide quick and easy access to market expectations data to the main macroeconomic indicators in the Focus report, made available by the **Central Bank of Brazil** through the Expectations System data [API](https://olinda.bcb.gov.br/olinda/servico/Expectativas/versao/v1/aplicacao#!/recursos). This data comes from several financial institutions, such as: banks, brokers, funds, consultancies, etc.
+The goal of **meedr** is to provide quick and easy access to market expectations data to the main macroeconomic indicators in the Focus report, made available by the **Central Bank of Brazil** through the Expectations System data [API](https://dadosabertos.bcb.gov.br/). This data comes from several financial institutions, such as: banks, brokers, funds, consultancies, etc.
 
 The **meedr** package offers an R interface to the API and other advantages:
 
@@ -67,7 +67,6 @@ These are some basic examples of using the package:
 
 ```{r, message=FALSE, warning=FALSE}
 library(meedr)
-library(dplyr)
 
 # Monthly market expectations for IPCA indicator
 ipca <- meedr::get_monthly(

README.md

@@ -19,10 +19,9 @@ downloads](http://cranlogs.r-pkg.org/badges/grand-total/meedr?color=green)](http
 The goal of **meedr** is to provide quick and easy access to market
 expectations data to the main macroeconomic indicators in the Focus
 report, made available by the **Central Bank of Brazil** through the
-Expectations System data
-[API](https://olinda.bcb.gov.br/olinda/servico/Expectativas/versao/v1/aplicacao#!/recursos).
-This data comes from several financial institutions, such as: banks,
-brokers, funds, consultancies, etc.
+Expectations System data [API](https://dadosabertos.bcb.gov.br/). This
+data comes from several financial institutions, such as: banks, brokers,
+funds, consultancies, etc.
 
 The **meedr** package offers an R interface to the API and other
 advantages:
@@ -74,7 +73,6 @@ These are some basic examples of using the package:
 
 ``` r
 library(meedr)
-library(dplyr)
 
 # Monthly market expectations for IPCA indicator
 ipca <- meedr::get_monthly(
@@ -88,11 +86,11 @@ head(ipca, 5)
 #> # A tibble: 5 x 11
 #>   indicator date       reference_date  mean median    sd coef_var   min   max
 #>   <chr>     <date>     <chr>          <dbl>  <dbl> <dbl>    <dbl> <dbl> <dbl>
-#> 1 IPCA      2021-04-23 04/2021         0.39   0.38  0.1      25.6  0.18  0.74
-#> 2 IPCA      2021-04-23 04/2021         0.38   0.35  0.09     23.7  0.18  0.74
-#> 3 IPCA      2021-04-22 04/2021         0.42   0.41  0.11     26.2  0.2   0.74
-#> 4 IPCA      2021-04-22 04/2021         0.42   0.4   0.1      23.8  0.24  0.74
-#> 5 IPCA      2021-04-20 04/2021         0.42   0.42  0.11     26.2  0.2   0.74
+#> 1 IPCA      2021-07-16 07/2021         0.66   0.71  0.17     26.3  0.13  0.94
+#> 2 IPCA      2021-07-16 07/2021         0.72   0.77  0.15     20.3  0.13  0.93
+#> 3 IPCA      2021-07-15 07/2021         0.65   0.7   0.18     27.5  0.13  0.94
+#> 4 IPCA      2021-07-15 07/2021         0.72   0.77  0.15     21.2  0.13  0.94
+#> 5 IPCA      2021-07-14 07/2021         0.64   0.68  0.18     28.4  0.13  0.94
 #> # ... with 2 more variables: n_respondents <int>, basis <int>
 ```