fitlandr-package: fitlandr: Fit Vector Fields and Potential Landscapes from...

In fitlandr: Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data

fitlandr: Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data

Description

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.

Author(s)

Maintainer: Jingmeng Cui [e-mail] (ORCID)

See Also

Useful links:

• https://sciurus365.github.io/fitlandr/

• https://github.com/Sciurus365/fitlandr

• Report bugs at https://github.com/Sciurus365/fitlandr/issues

fitlandr documentation built on Feb. 16, 2023, 8:31 p.m.