An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.

Installers

Info: This package contains files in non-standard labels.

conda install

  • linux-64  v1.8_6
  • win-64  v1.8_6
  • osx-64  v1.8_6
To install this package with conda run one of the following:
conda install -c conda-forge r-zoo
conda install -c conda-forge/label/gcc7 r-zoo
conda install -c conda-forge/label/cf201901 r-zoo

Description

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