DESCRIPTION

Type: Package
Package: fitlandr
Title: Fit Vector Fields and Potential Landscapes from Intensive
    Longitudinal Data
Version: 0.1.0.9000
Authors@R: 
    person("Jingmeng", "Cui", , "jingmeng.cui@outlook.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3421-8457"))
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>.
License: GPL (>= 3)
URL: https://sciurus365.github.io/fitlandr/,
    https://github.com/Sciurus365/fitlandr
BugReports: https://github.com/Sciurus365/fitlandr/issues
Imports: 
    cli,
    dplyr,
    furrr,
    future.apply,
    ggplot2,
    glue,
    grDevices,
    grid,
    magrittr,
    MASS,
    numDeriv,
    plotly,
    purrr,
    R.utils,
    Rfast,
    rlang,
    rootSolve,
    simlandr (>= 0.3.0),
    SparseVFC,
    tidyr
Suggests: 
    akima,
    colorRamps,
    future,
    knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr