remove Suggests for lsmeans and emmeans

DESCRIPTION

@@ -570,7 +570,6 @@ Suggests:
     covr,
     drc,
     e1071,
-    emmeans,
     epiR,
     ergm (>= 3.10.4),
     fixest (>= 0.9.0),
@@ -596,7 +595,6 @@ Suggests:
     lme4,
     lmodel2,
     lmtest (>= 0.9.38),
-    lsmeans,
     maps,
     margins,
     MASS,

NEWS.md

@@ -1,5 +1,7 @@
 # broom (development version)
 
+* Removed lsmeans and emmeans as Suggested packages as the packages have a dependency requiring R 4.3.0 or higher. To maintain compatibility with at least 4 previous minor versions of R, broom won't test support for these packages until the release of R 4.7.x (or until lsmeans and emmeans are compatible with the R version 4 minor releases previous, #1193).
+
 * Moved forward with deprecation of tidiers for objects from the sp package. See resources linked in [tidymodels/broom#1142](https://github.com/tidymodels/broom/issues/1142) for more information on migration from retiring spatial packages.
 
 * Corrected confidence interval values for precision components in `tidy.betareg()` output (#1169).

R/emmeans-tidiers.R

@@ -3,8 +3,8 @@
 #'
 #' @param x An `lsmobj` object.
 #' @template param_confint
-#' @param ... Additional arguments passed to [emmeans::summary.emmGrid()] or
-#'   [lsmeans::summary.ref.grid()]. **Cautionary note**: misspecified arguments
+#' @param ... Additional arguments passed to `emmeans::summary.emmGrid()` or
+#'   `lsmeans::summary.ref.grid()`. **Cautionary note**: misspecified arguments
 #'   may be silently ignored!
 #'
 #' @evalRd return_tidy(
@@ -24,61 +24,62 @@
 #'   contrast, each row will contain one estimated contrast.
 #'
 #'   There are a large number of arguments that can be
-#'   passed on to [emmeans::summary.emmGrid()] or [lsmeans::summary.ref.grid()].
-#'
-#' @examplesIf rlang::is_installed(c("emmeans", "ggplot2"))
-#'
-#' # load libraries for models and data
-#' library(emmeans)
-#'
-#' # linear model for sales of oranges per day
-#' oranges_lm1 <- lm(sales1 ~ price1 + price2 + day + store, data = oranges)
-#'
-#' # reference grid; see vignette("basics", package = "emmeans")
-#' oranges_rg1 <- ref_grid(oranges_lm1)
-#' td <- tidy(oranges_rg1)
-#' td
-#'
-#' # marginal averages
-#' marginal <- emmeans(oranges_rg1, "day")
-#' tidy(marginal)
-#'
-#' # contrasts
-#' tidy(contrast(marginal))
-#' tidy(contrast(marginal, method = "pairwise"))
-#'
-#' # plot confidence intervals
-#' library(ggplot2)
-#'
-#' ggplot(tidy(marginal, conf.int = TRUE), aes(day, estimate)) +
-#'   geom_point() +
-#'   geom_errorbar(aes(ymin = conf.low, ymax = conf.high))
-#'
-#' # by multiple prices
-#' by_price <- emmeans(oranges_lm1, "day",
-#'   by = "price2",
-#'   at = list(
-#'     price1 = 50, price2 = c(40, 60, 80),
-#'     day = c("2", "3", "4")
-#'   )
-#' )
-#'
-#' by_price
-#'
-#' tidy(by_price)
-#'
-#' ggplot(tidy(by_price, conf.int = TRUE), aes(price2, estimate, color = day)) +
-#'   geom_line() +
-#'   geom_errorbar(aes(ymin = conf.low, ymax = conf.high))
-#'
-#' # joint_tests
-#' tidy(joint_tests(oranges_lm1))
+#'   passed on to `emmeans::summary.emmGrid()` or `lsmeans::summary.ref.grid()`.
 #'
+# examples no longer supplied, see #1193
+# @examplesIf rlang::is_installed(c("emmeans", "ggplot2"))
+#
+# # load libraries for models and data
+# library(emmeans)
+#
+# # linear model for sales of oranges per day
+# oranges_lm1 <- lm(sales1 ~ price1 + price2 + day + store, data = oranges)
+#
+# # reference grid; see vignette("basics", package = "emmeans")
+# oranges_rg1 <- ref_grid(oranges_lm1)
+# td <- tidy(oranges_rg1)
+# td
+#
+# # marginal averages
+# marginal <- emmeans(oranges_rg1, "day")
+# tidy(marginal)
+#
+# # contrasts
+# tidy(contrast(marginal))
+# tidy(contrast(marginal, method = "pairwise"))
+#
+# # plot confidence intervals
+# library(ggplot2)
+#
+# ggplot(tidy(marginal, conf.int = TRUE), aes(day, estimate)) +
+#   geom_point() +
+#   geom_errorbar(aes(ymin = conf.low, ymax = conf.high))
+#
+# # by multiple prices
+# by_price <- emmeans(oranges_lm1, "day",
+#   by = "price2",
+#   at = list(
+#     price1 = 50, price2 = c(40, 60, 80),
+#     day = c("2", "3", "4")
+#   )
+# )
+#
+# by_price
+#
+# tidy(by_price)
+#
+# ggplot(tidy(by_price, conf.int = TRUE), aes(price2, estimate, color = day)) +
+#   geom_line() +
+#   geom_errorbar(aes(ymin = conf.low, ymax = conf.high))
+#
+# # joint_tests
+# tidy(joint_tests(oranges_lm1))
+#
 #' @aliases emmeans_tidiers
 #' @export
 #' @family emmeans tidiers
-#' @seealso [tidy()], [emmeans::ref_grid()], [emmeans::emmeans()],
-#'   [emmeans::contrast()]
+#' @seealso [tidy()], `emmeans::ref_grid()`, `emmeans::emmeans()`,
+#'   `emmeans::contrast()`
 tidy.lsmobj <- function(x, conf.int = FALSE, conf.level = .95, ...) {
   check_ellipses("exponentiate", "tidy", "lsmobj", ...)
 
@@ -103,8 +104,8 @@ tidy.lsmobj <- function(x, conf.int = FALSE, conf.level = .95, ...) {
 #'
 #' @export
 #' @family emmeans tidiers
-#' @seealso [tidy()], [emmeans::ref_grid()], [emmeans::emmeans()],
-#'   [emmeans::contrast()]
+#' @seealso [tidy()], `emmeans::ref_grid()`, `emmeans::emmeans()`,
+#'   `emmeans::contrast()`
 tidy.ref.grid <- function(x, conf.int = FALSE, conf.level = .95, ...) {
   check_ellipses("exponentiate", "tidy", "ref.grid", ...)
 
@@ -129,8 +130,8 @@ tidy.ref.grid <- function(x, conf.int = FALSE, conf.level = .95, ...) {
 #'
 #' @export
 #' @family emmeans tidiers
-#' @seealso [tidy()], [emmeans::ref_grid()], [emmeans::emmeans()],
-#'   [emmeans::contrast()]
+#' @seealso [tidy()], `emmeans::ref_grid()`, `emmeans::emmeans()`,
+#'   `emmeans::contrast()`
 tidy.emmGrid <- function(x, conf.int = FALSE, conf.level = .95, ...) {
   check_ellipses("exponentiate", "tidy", "emmGrid", ...)
 
@@ -163,8 +164,8 @@ tidy.emmGrid <- function(x, conf.int = FALSE, conf.level = .95, ...) {
 #'
 #' @export
 #' @family emmeans tidiers
-#' @seealso [tidy()], [emmeans::ref_grid()], [emmeans::emmeans()],
-#'   [emmeans::contrast()]
+#' @seealso [tidy()], `emmeans::ref_grid()`, `emmeans::emmeans()`,
+#'   `emmeans::contrast()`
 
 tidy.summary_emm <- function(x, null.value = NULL, ...) {
   check_ellipses("exponentiate", "tidy", "summary_emm", ...)