Package: nlstimedist
Type: Package
Title: Non-Linear Model Fitting of Time Distribution of Biological
        Phenomena
Version: 2.0.0
Authors@R: 
    c(person(
          given = "Nathan",
          family = "Eastwood",
          role = c("aut", "cre", "prg", "trl", "ctr"),
          email = "nathan.eastwood@icloud.com"),
      person(
          given = "Nicola",
          family = "Steer",
          role = "ctb",
          email = "nicola.steer@plymouth.ac.uk",
          comment = c(ORCID = "0000-0002-6446-8601")),
      person(
          given = "Miguel",
          family = "Franco",
          role = "ctb",
          email = "M.Franco@plymouth.ac.uk",
          comment = c(ORCID = "0000-0002-7249-4981")),
      person(
          given = "Paul",
          family = "Ramsay",
          role = "ctb",
          email = "paul.ramsay@plymouth.ac.uk",
          comment = c(ORCID = "0000-0001-7631-6480")))
Description: Fit biologically meaningful distribution functions to
    time-sequence data (phenology), estimate parameters to draw the cumulative
    distribution function and probability density function and calculate
    standard statistical moments and percentiles. These methods are described in
    Steer et al. (2019) <doi:10.1111/2041-210X.13293>.
URL: https://github.com/nathaneastwood/nlstimedist
BugReports: https://github.com/nathaneastwood/nlstimedist/issues
Depends: R (>= 3.5.0)
Imports: ggplot2 (>= 2.1.0), minpack.lm (>= 1.2-0), nlstools (>=
        1.0-2), poorman (>= 0.2.1), stats
Suggests: knitr, rmarkdown, tinytest
License: GPL-2
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-26 07:05:10 UTC; nathan
Author: Nathan Eastwood [aut, cre, prg, trl, ctr],
  Nicola Steer [ctb] (<https://orcid.org/0000-0002-6446-8601>),
  Miguel Franco [ctb] (<https://orcid.org/0000-0002-7249-4981>),
  Paul Ramsay [ctb] (<https://orcid.org/0000-0001-7631-6480>)
Maintainer: Nathan Eastwood <nathan.eastwood@icloud.com>
Repository: CRAN
Date/Publication: 2020-08-27 08:20:03 UTC
