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-4.7)TempCont_0.1.0.9000.zip(r-4.6)TempCont_0.1.0.9000.zip(r-4.5)
TempCont_0.1.0.9000.tgz(r-4.6-any)TempCont_0.1.0.9000.tgz(r-4.5-any)
TempCont_0.1.0.9000.tar.gz(r-4.7-any)TempCont_0.1.0.9000.tar.gz(r-4.6-any)
TempCont_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

tempcont_data - Dummy data for 'temp.cont' examples

On CRAN:

3.00 score 2 stars 2 scripts 81 downloads 1 mentions 1 exports 2 dependencies

Last updated from:a15a06fe73. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	98
source / vignettes	OK	200
linux-release-x86_64	OK	98
macos-release-arm64	OK	163
macos-oldrel-arm64	OK	164
windows-devel	OK	124
windows-release	OK	64
windows-oldrel	OK	66
wasm-release	OK	91