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crosslag
View on CRAN: Click
here
Download and install crosslag package within the R console
Install from CRAN:
install.packages("crosslag")
Install from Github:
library("remotes")
install_github("cran/crosslag")
Install by package version:
library("remotes")
install_version("crosslag", "0.1.0")
Attach the package and use:
library("crosslag")
Maintained by
Yaxin Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.crosslag . crosslag results . crosslag.pdf . crosslag_0.1.0.tar.gz . crosslag_0.1.0.zip . crosslag_0.1.0.zip . crosslag_0.1.0.zip . crosslag_0.1.0.tgz . crosslag_0.1.0.tgz . crosslag_0.1.0.tgz . crosslag_0.1.0.tgz . crosslag_0.1.0.tgz . crosslag_0.1.0.tgz . https://CRAN.R-project.org/package=crosslag .
First Published: 2024-05-17
Latest Update: 2024-05-17
Description:
Linear or nonlinear cross-lagged panel model can be built from input data. Users can choose the appropriate method from three methods for constructing nonlinear cross lagged models. These three methods include polynomial regression, generalized additive model and generalized linear mixed model.In addition, a function for determining linear relationships is provided. Relevant knowledge of cross lagged models can be learned through the paper by Fredrik Falkenström (2024) <doi:10.1016/j.cpr.2024.102435> and the paper by A Gasparrini (2010) <doi:10.1002/sim.3940>.
How to cite:
Yaxin Li (2024). crosslag: Perform Linear or Nonlinear Cross Lag Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/crosslag. Accessed 03 Apr. 2025.
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