Package: lande
Type: Package
Title: Tools for Evolutionary Selection Analysis
Version: 0.1.0
Authors@R: 
    c(
        person("Vanessa", "Zhou",
            role = c("aut"),
            comment = c(affiliation = "College of Computing, Georgia Institute of Technology, Atlanta, GA, United States")),
        person("Ali Sean", "Khan",
            role = c("aut"),
            comment = c(affiliation = "College of Computing, Georgia Institute of Technology, Atlanta, GA, United States")),
        person("Calvin", "Yu",
            role = c("aut"),
            comment = c(affiliation = "College of Computing, Georgia Institute of Technology, Atlanta, GA, United States")),
        person("Taylor", "Papke",
            role = c("aut"),
            comment = c(affiliation = "College of Computing, Georgia Institute of Technology, Atlanta, GA, United States")),
        person("Dima", "Al Nabhani",
            role = c("aut"),
            comment = c(affiliation = "College of Computing, Georgia Institute of Technology, Atlanta, GA, United States")),
        person("Guillermo", "Garcia-Costoya",
            role = c("aut"),
            comment = c(affiliation = "School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States")),
        person(c("James", "T."), "Stroud", email = "stroud@gatech.edu",
            role = c("aut", "cre"),
            comment = c(affiliation = "School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States"))
    )
Description: Estimates selection differentials and linear, quadratic
        and correlational selection gradients on relative fitness
        following Lande and Arnold (1983)
        <doi:10.1111/j.1558-5646.1983.tb00236.x>, with p-values from
        the logistic model for survival and from a Poisson or negative
        binomial model for counts. Fits cubic spline fitness functions
        as in Schluter (1988) <doi:10.1111/j.1558-5646.1988.tb02507.x>
        and two-trait fitness surfaces drawn only where there are data,
        and computes adaptive landscapes of mean fitness against the
        population mean for one or two traits, by period and for
        several groups on one surface. Includes bootstrap intervals, a
        combined results table and a Shiny app.
License: MIT + file LICENSE
URL: https://github.com/Human-Augment-Analytics/lande,
        https://human-augment-analytics.github.io/lande/
BugReports: https://github.com/Human-Augment-Analytics/lande/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: mgcv, MASS, Matrix, ggplot2 (>= 3.4.0), dplyr, fields,
        grDevices, stats, utils
Suggests: akima, car, ggrepel, patchwork, performance, plotly, shiny,
        viridis, knitr, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-10-16 17:53:39 UTC; root
Author: Vanessa Zhou [aut] (affiliation: College of Computing, Georgia
        Institute of Technology, Atlanta, GA, United States), Ali Sean
        Khan [aut] (affiliation: College of Computing, Georgia
        Institute of Technology, Atlanta, GA, United States), Calvin Yu
        [aut] (affiliation: College of Computing, Georgia Institute of
        Technology, Atlanta, GA, United States), Taylor Papke [aut]
        (affiliation: College of Computing, Georgia Institute of
        Technology, Atlanta, GA, United States), Dima Al Nabhani [aut]
        (affiliation: College of Computing, Georgia Institute of
        Technology, Atlanta, GA, United States), Guillermo
        Garcia-Costoya [aut] (affiliation: School of Biological
        Sciences, Georgia Institute of Technology, Atlanta, GA, United
        States), James T. Stroud [aut, cre] (affiliation: School of
        Biological Sciences, Georgia Institute of Technology, Atlanta,
        GA, United States)
Maintainer: James T. Stroud <stroud@gatech.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-16 12:40:09 UTC
RemoteUrl: https://github.com/cran/lande
RemoteRef: HEAD
RemoteSha: 23b8e1c73a78b0c3ba6ac9eb8de53438e7d1a57f