R/tscv-package.R

In ahaeusser/tscv: Functions and utilities for tidy time series forecasting and time series cross-validation

#' @importFrom dplyr filter as_tibble group_by group_split left_join pull select_if mutate n n_distinct rename slice slice_tail summarise all_of
#' @importFrom dplyr ungroup select bind_rows arrange group_by_if row_number distinct do full_join desc first last if_else starts_with lag everything
#' @importFrom tidyr fill pivot_longer pivot_wider drop_na unnest gather spread
#' @importFrom tibble add_column add_row
#' @importFrom slider slide_dbl
#' @importFrom lubridate year quarter month hour wday date
#' @importFrom rlang is_empty quo_is_null as_name abort .data ":="
#' @importFrom magrittr "%>%"
#' @importFrom distributional dist_normal
#' @importFrom nnfor elm mlp
#' @importFrom forecast msts dshw tbats na.interp
#' @importFrom scales pretty_breaks
#' @importFrom stats approx quantile qnorm median mad sd as.ts acf pacf time density lm as.formula
#' @importFrom grDevices colorRampPalette
#' @importFrom tidytext scale_x_reordered
#' @importFrom utils tail
#' @importFrom glue glue
#' @importFrom rstudioapi versionInfo
#' @importFrom devtools session_info
#' @importFrom crayon bold italic
#' @rawNamespace import(ggplot2, except = stat_qq_line)
#' @importFrom qqplotr stat_qq_point stat_qq_line stat_qq_band
#' @import tsibble
#' @import fabletools
#' @import purrr
globalVariables(".")
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