The tsbox package makes life with time series in R easier. It is built around a set of functions that convert time series of different classes to each other. They are frequency-agnostic, and allow the user to combine time series of multiple non-standard and irregular frequencies. A detailed overview of ...

The R ecosystem knows a vast number of time series classes: ts, xts, zoo, tsibble, tibbletime or timeSeries. The plethora of standards causes confusion. As different packages rely on different classes, it is hard to use them in the same analysis. tsbox provides a set of tools that make it ...

The R ecosystem knows a ridiculous number of time series classes. So, I decided to create a new universal standard that finally covers everyone’s use case… Ok, just kidding! tsbox, now freshly on CRAN, provides a set of tools that are agnostic towards existing time series classes. It is ...

The website dataseries.org aims to be Switzerland’s FRED – a free comprehensive database of Swiss time series. Powered by R and written in Shiny (also using a bit of JavaScript) it allows you to quickly search and explore a large number of data series. Switzerland’s time series in ...

This post was written by Dirk Eddelbuettel and Christoph Sax and posted by both author’s respective blogs. The seasonal package by Christoph Sax brings a very featureful and expressive interface for working with seasonal data to the R environment. It uses the standard tool of the trade: X-13ARIMA-SEATS. ...

The R package seasonal makes it easy to use X-13ARIMA-SEATS, the seasonal adjustment software by the U.S. Census Bureau. In a previous post, I wrote about www.seasonal.website, a Shiny-based website showcasing the use of seasonal. Even if you are not using R, the website allows you ...

A new website is showcasing the use of seasonal and allows for online seasonal adjustment of time series.