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This package was removed from CRAN on 2021-04-07. Its history is shown below.
Reason: check problems were not corrected in time. Use of uninitialised memory detected by valgrind
Details below reflect version 0.1.3, its last release before removal.

scPDSI

0.1.3

Calculation of the Conventional and Self-Calibrating Palmer Drought Severity Index

0packages depend
downloads / year
test coverage
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Overview

About
Maintained by Ruida Zhong4 releasesCRAN page ↗GitHub ↗

Calculating the monthly conventional and self-calibrating Palmer Drought Severity Index (PDSI and scPDSI) using the precipitation and potential evapotranspiration data. The function to calculate PDSI is based on the C++ source codes developed by Nathan Wells, Steve Goddard and Michael J. Hayes, University of Nebraska-Lincoln. Reference: Palmer W. (1965). Meteorological drought. U.s.department of Commerce Weather Bureau Research Paper, https://www.ncdc.noaa.gov/temp-and-precip/drought/docs/palmer.pdf; Wells N., Goddard S., Hayes M. J. (2004). A Self-Calibrating Palmer Drought Severity Index. Journal of Climate, 17(12):2335-2351, DOI:10.1175/1520-0442(2004)017%3C2335:ASPDSI%3E2.0.CO;2.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct

Documentation

Documentation
READMEYes · 242 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
33%

Downloads

scPDSI
Daily download trend is not available in this view yet.
Also on10 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (2)
statsRcpp
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (7)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Author, Contributor
Author, Contributor
Author, Contributor
Contributors (6)
Author, Contributor
Author, Contributor
Author, Contributor
Contributor
Contributor
Contributor
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2021-04-07
    check problems were not corrected in time Use of uninitialised memory detected by valgrind
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.3
    2018-11-18 · diff ↗
  • 0.1.2
    2018-10-31 · diff ↗
  • unarchivedReturned to CRAN
    2018-10-31
  • 0.1.1
    2018-10-29 · diff ↗
  • archivedRemoved from CRAN
    2018-10-29
    check errors were not corrected, despite claiming that had been done in an update Solaris installation valgrind 'uninitialized values'
  • 0.1.0
    2018-10-28
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

Total releases
4
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
3.4 KB / 1 file
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scPDSI")
Zhong, R., Chen, X., Wang, Z., Lai, C., Goddard, S., Wells, N., & Hayes, M. (n.d.). scPDSI: Calculation of the Conventional and Self-Calibrating Palmer Drought Severity Index (Version 0.1.3) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=scPDSI

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scPDSI version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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