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
TempCont_0.1.0.9000.zip(r-4.5)TempCont_0.1.0.9000.zip(r-4.4)TempCont_0.1.0.9000.zip(r-4.3)
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)
TempCont_0.1.0.9000.tgz(r-4.4-emscripten)TempCont_0.1.0.9000.tgz(r-4.3-emscripten)
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'))

Peer review:

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

Datasets:

On CRAN:

1 exports 2 stars 1.17 score 2 dependencies 1 mentions 2 scripts 123 downloads

Last updated 6 years agofrom:a15a06fe73. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:temp.cont

Dependencies:latticenlme