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TempCont  

Temporal Contributions on Trends using Mixed Models
View on CRAN: Click here


Download and install TempCont package within the R console
Install from CRAN:
install.packages("TempCont")

Install from Github:
library("remotes")
install_github("cran/TempCont")

Install by package version:
library("remotes")
install_version("TempCont", "0.1.0")



Attach the package and use:
library("TempCont")
Maintained by
Marcos Fernández-Martínez
[Scholar Profile | Author Map]
First Published: 2019-03-19
Latest Update: 2019-03-19
Description:
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>.
How to cite:
Marcos Fernández-Martínez (2019). TempCont: Temporal Contributions on Trends using Mixed Models. R package version 0.1.0, https://cran.r-project.org/web/packages/TempCont. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited TempCont R package
View TempCont citation profile
Other R packages that TempCont depends, imports, suggests or enhances
Complete documentation for TempCont
Functions, R codes and Examples using the TempCont R package
Some associated functions: temp.cont . tempcont_data . 
Some associated R codes: temp.cont.R .  Full TempCont package functions and examples
Downloads during the last 30 days
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