Travis build status Coveralls test coverage CRAN Downloads-total Downloads-weekly

The PRague InterBank Offered Rates (PRIBOR - the CZK member of the broader IBOR family) are provided by the Czech National Bank as a courtesy of the Czech Financial Benchmark Facility s.r.o., the benchmark administrator of the PRIBOR benchmark. The rates can be accessed for internal purposes free of charge via internet pages of ČNB –

The two-week repo rate (a key policy rate) is formally announced by ČNB and also published on the ČNB internet –

The package {czechrates} provides a convenient way to access the information stored on the ČNB site from the comfort of your R session. It does not store the rates (this would be against the terms of use, and the data would get stale rather soon). As a consequence a working internet connection is required to use the package.

The package currently contains a two functions: czechrates::pribor() and czechrates::repo2w()

The pribor() function has two parameters:

The repo2wr() function has only a single parameter (as the maturity is two weeks by definition):


czechrates is currently not on CRAN.

You are welcome to install it from GitHub by running:



A simple example:


pribor() # overnight PRIBOR for yesterday
# A tibble: 1 x 2
  date_valid PRIBOR_1D
  <date>         <dbl>
1 2020-05-26    0.0025

pribor(as.Date("2020-04-01")) # overnight PRIBOR for April 1st, 2020
# A tibble: 1 x 2
  date_valid PRIBOR_1D
  <date>         <dbl>
1 2020-04-01    0.0101

pribor(as.Date("2020-04-01"), c("1W", "1M")) # weekly and monthly PRIBOR for April 1st, 2020
# A tibble: 1 x 3
  date_valid PRIBOR_1W PRIBOR_1M
  <date>         <dbl>     <dbl>
1 2020-04-01    0.0102    0.0104

repo2w() # two-week REPO rate for yesterday
# A tibble: 1 x 2
  date_valid REPO_2W
  <date>       <dbl>
1 2020-05-26  0.0025

repo2w(as.Date("2020-04-01")) # two-week repo rate for April 1st, 2020
# A tibble: 1 x 2
  date_valid REPO_2W
  <date>       <dbl>
1 2020-04-01    0.01

A graphic example:


chart_src <- pribor(seq(from = as.Date("1997-05-01"), 
                        to = as.Date("1997-06-30"),
                        by = 1))

ggplot(data = chart_src, aes(x = date_valid, y = PRIBOR_1D)) +
  geom_line(color = "red", size = 1.25) +
  geom_point(color = "red", size = 2) +
  scale_x_date(date_labels = "%d.%m.%Y") +
  scale_y_continuous(labels = scales::percent_format()) +
  theme_bw() +
  labs(title = "A ghost of the times past, when the Asian Fever meant *monetary* contagion...",
       x = "Date",
       y = "Overnight PRIBOR (per annum)") +
  theme(plot.title = ggtext::element_markdown(size = 22))

Asian Fever, version 1997