CRAN/E | crosslag

crosslag

Perform Linear or Nonlinear Cross Lag Analysis

Installation

About

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.

Key Metrics

Version 0.1.0
R ≥ 4.3.0
Published 2024-05-17 158 days ago
Needs compilation? no
License MIT
License File
CRAN checks crosslag results

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Maintainer

Maintainer

Yaxin Li

Authors

Yaxin Li

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

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