Remove purrr dependency

We now directly import from rlang and vctrs, which were indirect
dependencies anyways. purrr::map_dfr is deprecated in the upcoming purrr
1.0, and depends on dplyr (since when?) which is only suggested by
purrr. This would lead new installations of mkin to fail if dplyr is not
installed as well.

6 files changed, 11 insertions, 8 deletions

diff --git a/DESCRIPTION b/DESCRIPTION
index 118ceaae..6734a43c 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -2,7 +2,7 @@ Package: mkin
 Type: Package
 Title: Kinetic Evaluation of Chemical Degradation Data
 Version: 1.1.2
-Date: 2022-07-21
+Date: 2022-09-14
 Authors@R: c(
   person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
     email = "johannes.ranke@jrwb.de",
@@ -24,7 +24,7 @@ Description: Calculation routines based on the FOCUS Kinetics Report (2006,
   purpose.
 Depends: R (>= 2.15.1),
 Imports: stats, graphics, methods, parallel, deSolve, R6, inline (>= 0.3.19),
-  numDeriv, lmtest, pkgbuild, nlme (>= 3.1-151), purrr, saemix (>= 3.1)
+  numDeriv, lmtest, pkgbuild, nlme (>= 3.1-151), saemix (>= 3.1), rlang, vctrs
 Suggests: knitr, rbenchmark, tikzDevice, testthat, rmarkdown, covr, vdiffr,
   benchmarkme, tibble, stats4
 License: GPL
diff --git a/NAMESPACE b/NAMESPACE
index 90e69221..1be6d95d 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -135,7 +135,7 @@ importFrom(nlme,intervals)
 importFrom(parallel,detectCores)
 importFrom(parallel,mclapply)
 importFrom(parallel,parLapply)
-importFrom(purrr,map_dfr)
+importFrom(rlang,"!!!")
 importFrom(stats,AIC)
 importFrom(stats,BIC)
 importFrom(stats,aggregate)
diff --git a/R/mixed.mmkin.R b/R/mixed.mmkin.R
index 682a9a34..fd6d975f 100644
--- a/R/mixed.mmkin.R
+++ b/R/mixed.mmkin.R
@@ -1,5 +1,6 @@
 #' Create a mixed effects model from an mmkin row object
 #'
+#' @importFrom rlang !!!
 #' @param object An [mmkin] row object
 #' @param method The method to be used
 #' @param \dots Currently not used
@@ -65,7 +66,7 @@ mixed.mmkin <- function(object, method = c("none"), ...) {
       function(x) x$data[c("variable", "time", "observed", "predicted", "residual")])
 
     names(ds_list) <- ds_names
-    res$data <- purrr::map_dfr(ds_list, function(x) x, .id = "ds")
+    res$data <- vctrs::vec_rbind(!!!ds_list, .names_to = "ds")
     names(res$data)[1:4] <- c("ds", "name", "time", "value")
     res$data$name <- as.character(res$data$name)
     res$data$ds <- ordered(res$data$ds, levels = unique(res$data$ds))
diff --git a/R/nlme.R b/R/nlme.R
index 8762f137..6b2d06d0 100644
--- a/R/nlme.R
+++ b/R/nlme.R
@@ -125,7 +125,7 @@ nlme_function <- function(object) {
 }
 
 #' @rdname nlme
-#' @importFrom purrr map_dfr
+#' @importFrom rlang !!!
 #' @return A \code{\link{groupedData}} object
 #' @export
 nlme_data <- function(object) {
@@ -134,7 +134,7 @@ nlme_data <- function(object) {
 
   ds_list <- lapply(object, function(x) x$data[c("time", "variable", "observed")])
   names(ds_list) <- ds_names
-  ds_nlme <- purrr::map_dfr(ds_list, function(x) x, .id = "ds")
+  ds_nlme <- vctrs::vec_rbind(!!!ds_list, .names_to = "ds")
   ds_nlme$variable <- as.character(ds_nlme$variable)
   ds_nlme$ds <- ordered(ds_nlme$ds, levels = unique(ds_nlme$ds))
   ds_nlme_renamed <- data.frame(ds = ds_nlme$ds, name = ds_nlme$variable,
diff --git a/R/plot.mixed.mmkin.R b/R/plot.mixed.mmkin.R
index 3a444253..6815bfd2 100644
--- a/R/plot.mixed.mmkin.R
+++ b/R/plot.mixed.mmkin.R
@@ -153,7 +153,7 @@ plot.mixed.mmkin <- function(x,
   outtimes <- sort(unique(c(x$data$time,
     seq(xlim[1], xlim[2], length.out = 50))))
 
-  pred_ds <- purrr::map_dfr(i, function(ds_i)   {
+  pred_list <- lapply(i, function(ds_i)   {
     odeparms_trans <- degparms_all[ds_i, odeparms_names]
     names(odeparms_trans) <- odeparms_names # needed if only one odeparm
     if (backtransform) {
@@ -171,8 +171,9 @@ plot.mixed.mmkin <- function(x,
     out <- mkinpredict(x$mkinmod, odeparms, odeini,
       outtimes, solution_type = solution_type,
       atol = fit_1$atol, rtol = fit_1$rtol)
-    return(cbind(as.data.frame(out), ds = ds_names[ds_i]))
   })
+  names(pred_list) <- ds_names[i]
+  pred_ds <- vctrs::vec_rbind(!!!pred_list, .names_to = "ds")
 
   odeparms_pop_trans <- degparms_all_pop[odeparms_names]
 
diff --git a/R/saem.R b/R/saem.R
index 6ed3efdd..875456c3 100644
--- a/R/saem.R
+++ b/R/saem.R
@@ -559,6 +559,7 @@ saemix_model <- function(object, solution_type = "auto", transformations = c("mk
 }
 
 #' @rdname saem
+#' @importFrom rlang !!!
 #' @return An [saemix::SaemixData] object.
 #' @export
 saemix_data <- function(object, verbose = FALSE, ...) {