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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.
sciurus365.github.io/fitlandr/ | |
github.com/Sciurus365/fitlandr | |
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