import foreach deleted

DESCRIPTION

@@ -9,7 +9,7 @@ Description: This is a customized fork of the original work from Tianwei Yu.
         It takes the adaptive processing of LC/MS metabolomics data further
         with focus on high resolution MS for both LC and GC applications.
 Depends: R (>= 3.50), MASS, mzR, splines, doParallel, foreach,
-        snow, dplyr, tidyr, stringr, tibble, tools, arrow, plyr
+        snow, dplyr, tidyr, stringr, tibble, tools, arrow
 biocViews: Technology, MassSpectrometry
 License: GPL-2
 LazyLoad: yes

NAMESPACE

@@ -103,31 +103,19 @@ export(two.step.hybrid)
 export(unsupervised)
 export(validate_contents)
 export(validate_model_method_input)
-import("min,")
-import(Create)
 import(MASS)
-import(RT)
-import(a)
-import(and)
 import(arrow)
 import(doParallel)
 import(dplyr)
 import(foreach)
-import(max)
-import(mean)
-import(metadata)
-import(mz)
 import(mzR)
 import(parallel)
-import(row)
 import(snow)
 import(splines)
 import(stringr)
 import(tibble)
 import(tidyr)
 import(tools)
-import(values.)
-import(with)
 importFrom(dplyr,arrange)
 importFrom(dplyr,between)
 importFrom(dplyr,bind_rows)

R/feature.align.R

@@ -1,5 +1,3 @@
-#' @import foreach
-
 #' Create a metadata row tibble with min, max and mean mz and RT values.
 #' @param sample_grouped A dataframe with grouped mz and RT values for a particular cluster.
 #' @param sample_names A list of sample names.