tdata: Prepare Your Time-Series Data for Further Analysis

Provides a set of tools for managing time-series data, with a particular emphasis on defining various frequency types such as daily and weekly. It also includes functionality for converting data between different frequencies.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: Rcpp
LinkingTo: BH, Rcpp
Suggests: knitr, testthat, rmarkdown
Published: 2023-11-07
Author: Ramin Mojab [aut, cre]
Maintainer: Ramin Mojab <rmojab63 at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/rmojab63/LDT
NeedsCompilation: yes
SystemRequirements: C++17
CRAN checks: tdata results

Documentation:

Reference manual: tdata.pdf
Vignettes: Time and Data

Downloads:

Package source: tdata_0.3.0.tar.gz
Windows binaries: r-prerel: tdata_0.3.0.zip, r-release: tdata_0.3.0.zip, r-oldrel: tdata_0.3.0.zip
macOS binaries: r-prerel (arm64): tdata_0.3.0.tgz, r-release (arm64): tdata_0.3.0.tgz, r-oldrel (arm64): tdata_0.3.0.tgz, r-prerel (x86_64): tdata_0.3.0.tgz, r-release (x86_64): tdata_0.3.0.tgz
Old sources: tdata archive

Reverse dependencies:

Reverse imports: ldt

Linking:

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