ipeadata.d: Ipea Daily Macroeconomic Dataset
In tspredit: Time Series Prediction with Integrated Tuning

ipeadata.d

R Documentation

Ipea Daily Macroeconomic Dataset

Description

Daily economic time series from Ipea (Institute for Applied Economic Research, Brazil). Data Type: Macroeconomic indicators. Category: Public data. Observations: 901 to 8,154 per series, 12 series. This dataset contains the most requested time series provided by Ipea with daily frequency, including exchange rates, stock index, interest rates, imports and exports. The series span from 1962 to September 2017. Missing values were removed using na.omit. The last 30 observations are for test set.

Usage

data(ipeadata.d)

Format

A data frame with up to 8,154 rows and 12 columns. Each column corresponds to a different univariate daily time series.

Details

Contains daily macroeconomic indicators frequently used in empirical forecasting. Series are cleaned with na.omit.

Source

Ipea - Ipeadata Portal, section "Most Requested Series", filtered by frequency "Daily".

References

Ipea (2017). Ipeadata – Macroeconomic and Regional Data. Technical Report. http://www.ipeadata.gov.br

Examples

# Load Ipea daily dataset and plot the first series
data(ipeadata.d)
# ipeadata.d <- loadfulldata(ipeadata.d)
series <- ipeadata.d[[1]]
ts.plot(series, ylab = "Value", xlab = "Day", main = "Ipea daily example")

tspredit documentation built on Feb. 11, 2026, 9:08 a.m.