The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

crosslag: Perform Linear or Nonlinear Cross Lag Analysis

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>.

Version: 0.1.0
Depends: R (≥ 4.3.0)
Imports: gamm4 (≥ 0.2.6), ggplot2 (≥ 3.5.0), lavaan (≥ 0.6.17), mgcv (≥ 1.9.1), rms (≥ 6.8.0), ggpubr (≥ 0.6.0), stats (≥ 4.3.2), utils (≥ 3.1.0)
Published: 2024-05-17
DOI: 10.32614/CRAN.package.crosslag
Author: Yaxin Li [aut, cre]
Maintainer: Yaxin Li <LYX010308 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: no
In views: TimeSeries
CRAN checks: crosslag results

Documentation:

Reference manual: crosslag.pdf

Downloads:

Package source: crosslag_0.1.0.tar.gz
Windows binaries: r-devel: crosslag_0.1.0.zip, r-release: crosslag_0.1.0.zip, r-oldrel: crosslag_0.1.0.zip
macOS binaries: r-release (arm64): crosslag_0.1.0.tgz, r-oldrel (arm64): crosslag_0.1.0.tgz, r-release (x86_64): crosslag_0.1.0.tgz, r-oldrel (x86_64): crosslag_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=crosslag to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.