Package: msaFACE 0.1.0

msaFACE: Moving Subset Analysis FACE

The new methodology "moving subset analysis" provides functions to investigate the effect of environmental conditions on the CO2 fertilization effect within longterm free air carbon enrichment (FACE) experiments. In general, the functionality is applicable to derive the influence of a third variable (forcing experiment-support variable) on the relation between a dependent and an independent variable.

Authors:Wolfgang A. Obermeier [cre, aut], Lukas W. Lehnert [cre, aut], Joerg Bendix [aut]

msaFACE_0.1.0.tar.gz
msaFACE_0.1.0.zip(r-4.5)msaFACE_0.1.0.zip(r-4.4)msaFACE_0.1.0.zip(r-4.3)
msaFACE_0.1.0.tgz(r-4.5-any)msaFACE_0.1.0.tgz(r-4.4-any)msaFACE_0.1.0.tgz(r-4.3-any)
msaFACE_0.1.0.tar.gz(r-4.5-noble)msaFACE_0.1.0.tar.gz(r-4.4-noble)
msaFACE_0.1.0.tgz(r-4.4-emscripten)msaFACE_0.1.0.tgz(r-4.3-emscripten)
msaFACE.pdf |msaFACE.html✨
msaFACE/json (API)

# Install 'msaFACE' in R:
install.packages('msaFACE', repos = c('https://lwlr.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • GiFACE - Longterm time series of a Free Air Carbon Enrichment experiment

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 140 downloads 5 exports 0 dependencies

Last updated 8 years agofrom:4ce1f73490. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winNOTEMar 08 2025
R-4.5-macNOTEMar 08 2025
R-4.5-linuxNOTEMar 08 2025
R-4.4-winNOTEMar 08 2025
R-4.4-macNOTEMar 08 2025
R-4.4-linuxNOTEMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:moving_subset_analysisplot.MSA_coefprint.MSA_coefshow.MSA_coefsummary.MSA_coef

Dependencies: