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mixtime  

Mixed Temporal Vectors and Operations
View on CRAN: Click here


Download and install mixtime package within the R console
Install from CRAN:
install.packages("mixtime")

Install from Github:
library("remotes")
install_github("cran/mixtime")

Install by package version:
library("remotes")
install_version("mixtime", "0.1.0")



Attach the package and use:
library("mixtime")
Maintained by
Mitchell O'Hara-Wild
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-19
Latest Update: 2026-05-19
Description:
Flexible time classes for time series analysis and forecasting with mixed temporal granularities. Supports linear and cyclical time representations in discrete and continuous forms, with timezone support, across multiple calendar systems including Gregorian and ISO week date calendars. Time points are stored numerically relative to a chronon; an atomic time granule defined by time units of a calendar. Calendrical arithmetic enables conversion between time granules (e.g. days to months) and calendar systems. Multi-unit arithmetic allows for temporal analysis with other granules of common calendars (e.g. fortnights are 2-week units). Time vectors of different granularities (e.g. monthly and quarterly) can be combined in a single vector, making 'mixtime' ideal for data that changes observation frequency over time or requires temporal reconciliation across scales. The package is extensible, allowing users to define custom calendars that build upon civil and astronomical time systems.
How to cite:
Mitchell O'Hara-Wild (2026). mixtime: Mixed Temporal Vectors and Operations. R package version 0.1.0, https://cran.r-project.org/web/packages/mixtime. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-08-24 07:30), 0.1.0 (2026-05-19 09:30), 0.2.0 (2026-06-28 14:00)
Other packages that cited mixtime R package
View mixtime citation profile
Other R packages that mixtime depends, imports, suggests or enhances
Complete documentation for mixtime
Functions, R codes and Examples using the mixtime R package
Full mixtime package functions and examples
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