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fitlandr: Fit Vector Fields and Potential Landscapes from Intensive Longitudinal 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>.
Getting started
Browse package contents
Package details |
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| Author | Jingmeng Cui [aut, cre] (<https://orcid.org/0000-0003-3421-8457>) |
| Maintainer | Jingmeng Cui <jingmeng.cui@outlook.com> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://sciurus365.github.io/fitlandr/ https://github.com/Sciurus365/fitlandr |
| Package repository | View on CRAN |
| Installation |
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