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>.

Version:	0.1.0
Imports:	cli, dplyr, furrr, future.apply, ggplot2, glue, grDevices, grid, magrittr, MASS, numDeriv, plotly, R.utils, Rfast, rlang, rootSolve, simlandr (≥ 0.3.0), SparseVFC, tidyr
Suggests:	akima, colorRamps, future
Published:	2023-02-10
DOI:	10.32614/CRAN.package.fitlandr
Author:	Jingmeng Cui [aut, cre]
Maintainer:	Jingmeng Cui <jingmeng.cui at outlook.com>
BugReports:	https://github.com/Sciurus365/fitlandr/issues
License:	GPL (≥ 3)
URL:	https://sciurus365.github.io/fitlandr/, https://github.com/Sciurus365/fitlandr
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	fitlandr results

Documentation:

Reference manual:

fitlandr.pdf

Downloads:

Package source:	fitlandr_0.1.0.tar.gz
Windows binaries:	r-devel: fitlandr_0.1.0.zip, r-release: fitlandr_0.1.0.zip, r-oldrel: fitlandr_0.1.0.zip
macOS binaries:	r-release (arm64): fitlandr_0.1.0.tgz, r-oldrel (arm64): fitlandr_0.1.0.tgz, r-release (x86_64): fitlandr_0.1.0.tgz, r-oldrel (x86_64): fitlandr_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fitlandr to link to this page.