Apply pkgname::func_name

See #86

NAMESPACE

@@ -58,25 +58,13 @@ importFrom(dplyr,tally)
 importFrom(dplyr,tibble)
 importFrom(dplyr,ungroup)
 importFrom(dplyr,vars)
-importFrom(ggplot2,aes)
 importFrom(ggplot2,element_text)
 importFrom(ggplot2,geom_bar)
-importFrom(ggplot2,geom_line)
-importFrom(ggplot2,geom_point)
-importFrom(ggplot2,geom_ribbon)
 importFrom(ggplot2,ggplot)
-importFrom(ggplot2,ggsave)
-importFrom(ggplot2,ggtitle)
-importFrom(ggplot2,scale_colour_manual)
 importFrom(ggplot2,scale_y_continuous)
 importFrom(ggplot2,theme)
 importFrom(ggplot2,xlab)
 importFrom(ggplot2,ylab)
-importFrom(grDevices,grey)
-importFrom(gratia,derivatives)
-importFrom(mgcv,gam)
-importFrom(mgcv,nb)
-importFrom(mgcv,summary.gam)
 importFrom(plotly,ggplotly)
 importFrom(plotly,layout)
 importFrom(purrr,map2)
@@ -92,19 +80,13 @@ importFrom(rgbif,occ_download_meta)
 importFrom(rlang,"!!!")
 importFrom(rlang,"!!")
 importFrom(rlang,":=")
-importFrom(rlang,.data)
 importFrom(rlang,sym)
 importFrom(scales,percent_format)
-importFrom(stats,formula)
 importFrom(stats,median)
-importFrom(stats,predict)
 importFrom(stringr,str_c)
-importFrom(stringr,str_ends)
 importFrom(stringr,str_remove)
 importFrom(stringr,str_split)
-importFrom(stringr,str_sub)
 importFrom(svDialogs,dlgInput)
-importFrom(tibble,as_tibble)
 importFrom(tibble,tibble)
 importFrom(tidyselect,ends_with)
 importFrom(tidyselect,one_of)

R/apply_gam.R

@@ -83,17 +83,10 @@
 #'   a ggplot2 object. Plot of GAM output and emerging. \code{NULL} if GAM
 #'   cannot be applied.}}
 #' @export
-#' @importFrom assertthat assert_that
-#' @importFrom dplyr mutate filter select case_when rename left_join full_join
+#' @importFrom dplyr filter select case_when rename left_join full_join
 #'   %>% .data sym enquo
 #' @importFrom tidyselect vars_pull
-#' @importFrom tibble as_tibble
-#' @importFrom purrr map2
 #' @importFrom rlang !! :=
-#' @importFrom stringr str_ends str_sub
-#' @importFrom mgcv nb gam summary.gam
-#' @importFrom stats formula predict
-#' @importFrom gratia derivatives
 #' 
 #' @details
 #' The GAM modelling is performed using the `mgcvb::gam()`. To use this function, we pass: