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.
- Version0.1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Fredrik Falkenström (2024)
- A Gasparrini (2010)
- Last release05/17/2024
Documentation
Team
Yaxin Li
Insights
Last 30 days
This package has been downloaded 536 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,555 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was May 19, 2024 with 63 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports6 packages