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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | fitlandr_0.1.1.tar.gz |
200.8 KiB |
0.1.1 |
latest source/ R- | fitlandr_0.1.1.tar.gz |
200.8 KiB |
0.1.1 |
2026-04-23 source/ R- | fitlandr_0.1.1.tar.gz |
200.8 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | fitlandr_0.1.1.zip |
289.5 KiB |