Package: TempCont 0.1.0.9000

Marcos Fernández-Martínez

TempCont: Temporal Contributions on Trends using Mixed Models

Method to estimate the effect of the trend in predictor variables on the observed trend of the response variable using mixed models with temporal autocorrelation. See Fernández-Martínez et al. (2017 and 2019) <doi:10.1038/s41598-017-08755-8> <doi:10.1038/s41558-018-0367-7>.

Authors:Marcos Fernández-Martínez, Joan Maspons

TempCont_0.1.0.9000.tar.gz
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TempCont_0.1.0.9000.tgz(r-4.5-any)TempCont_0.1.0.9000.tgz(r-4.4-any)TempCont_0.1.0.9000.tgz(r-4.3-any)
TempCont_0.1.0.9000.tar.gz(r-4.5-noble)TempCont_0.1.0.9000.tar.gz(r-4.4-noble)
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TempCont.pdf |TempCont.html
TempCont/json (API)

# Install 'TempCont' in R:
install.packages('TempCont', repos = c('https://burriach.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/burriach/tempcont/issues

Datasets:

On CRAN:

Conda:

3.00 score 2 stars 2 scripts 134 downloads 1 mentions 1 exports 2 dependencies

Last updated 6 years agofrom:a15a06fe73. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winOKMar 05 2025
R-4.5-macOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winOKMar 05 2025
R-4.4-macOKMar 05 2025
R-4.4-linuxOKMar 05 2025
R-4.3-winOKMar 05 2025
R-4.3-macOKMar 05 2025

Exports:temp.cont

Dependencies:latticenlme