fitlandr: Fit Vector Fields and Potential Landscapes from IntensiveLongitudinal Data
A toolbox for estimating vector fields from intensive longitudinal data, and construct potential landscapes thereafter. The vector fields can be estimated with two nonparametric methods: the Multivariate Vector Field Kernel Estimator (MVKE) by Bandi & Moloche (2018) <doi:10.1017/S0266466617000305> and the Sparse Vector Field Consensus (SparseVFC) algorithm by Ma et al. (2013) <doi:10.1016/j.patcog.2013.05.017>. The potential landscapes can be constructed with a simulation-based approach with the 'simlandr' package (Cui et al., 2021) <doi:10.31234/osf.io/pzva3>, or the Bhattacharya et al. (2011) method for path integration <doi:10.1186/1752-0509-5-85>.
| Version: | 0.1.0 |
| Imports: | cli,dplyr,furrr,future.apply,ggplot2,glue, grDevices, grid,magrittr,MASS,numDeriv,plotly,R.utils,Rfast,rlang,rootSolve,simlandr (≥ 0.3.0),SparseVFC,tidyr |
| Suggests: | akima,colorRamps,future |
| Published: | 2023-02-10 |
| DOI: | 10.32614/CRAN.package.fitlandr |
| Author: | Jingmeng Cui [aut, cre] |
| Maintainer: | Jingmeng Cui <jingmeng.cui at outlook.com> |
| BugReports: | https://github.com/Sciurus365/fitlandr/issues |
| License: | GPL (≥ 3) |
| URL: | https://sciurus365.github.io/fitlandr/,https://github.com/Sciurus365/fitlandr |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | Psychometrics |
| CRAN checks: | fitlandr results |
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