fitlandr
0.1.1Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data
Overview
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.
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Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 11%
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Checks run against github.com/sciurus365/fitlandr on 2026-07-19.
Dependencies
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.02023-02-10
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-10
- Total releases
- 2 / 3 yrs
- License
- GPL (>= 3) OSI
- Download size
- 201 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet