DESCRIPTION

Package: mvgamportal
Title: iterative forecasting of rodent population dynamics implemented in a  Bayesian framework 
Version: 0.0.1
Authors@R: 
    person("Patricia", "Dumandan", , "pdumandan@ufl.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3360-1534"))
Description: assessing the effect of training data length on forecast accuracy using multivariate Generalized Additive Models (GAMs) and long-term data on rodent communities.
License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a
    license
Depends: 
    R (>= 3.2.3)
Imports:
    portalr,
    mvgam,
    tidyr,
    tidyverse,
    dplyr,
    vctrs,
    lubridate,
    rsample
Suggests:
    ggplot2,
    ggpubr,
    knitr,
    pkgdown,
    rmarkdown,
    testthat
VignetteBuilder: 
    knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3