diff --git a/DESCRIPTION b/DESCRIPTION
index 954f9d9b..d8ae12dd 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -61,6 +61,7 @@ Suggests:
     MASS,
     mgcv,
     mice,
+    mmrm (>= 0.3.6),
     multgee,
     nnet,
     ordinal,
diff --git a/NEWS.md b/NEWS.md
index d19e6bac..f6184f0f 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,9 @@
 # broom.helpers (development version)
 
+**New supported models**
+
+- Support for `mmrm::mmrm()` models (#228)
+
 **New features**
 
 - new `tidy_post_fun` argument in `tidy_plus_plus()` (#235)
diff --git a/R/model_get_weights.R b/R/model_get_weights.R
index 15df9a07..d3eb6033 100644
--- a/R/model_get_weights.R
+++ b/R/model_get_weights.R
@@ -4,7 +4,7 @@
 #'
 #' @param model a model object
 #' @note
-#' For class `svrepglm` objects (glm on a survey object with replicate weights),
+#' For class `svrepglm` objects (GLM on a survey object with replicate weights),
 #' it will return the original sampling weights of the data, not the replicate
 #' weights.
 #' @export
diff --git a/data-raw/DATASET.R b/data-raw/DATASET.R
index cbafa9b1..7e9de777 100644
--- a/data-raw/DATASET.R
+++ b/data-raw/DATASET.R
@@ -50,6 +50,7 @@ supported_models <-
     "`logitr::logitr()`", "Requires logitr >= 0.8.0",
     "`multgee::nomLORgee()`", "Experimental support. Use `tidy_multgee()` as `tidy_fun`.",
     "`multgee::ordLORgee()`", "Experimental support. Use `tidy_multgee()` as `tidy_fun`.",
+    "`mmrm::mmrm()`", "",
     "`pscl::zeroinfl()`", "Use `tidy_zeroinfl()` as `tidy_fun`.",
     "`pscl::hurdle()`", "Use `tidy_zeroinfl()` as `tidy_fun`.",
     "`betareg::betareg()`", "Use `tidy_parameters()` as `tidy_fun` with `component` argument to control with coefficients to return. `broom::tidy()` does not support the `exponentiate` argument for betareg models, use `tidy_parameters()` instead." # nolint
diff --git a/data/supported_models.rda b/data/supported_models.rda
index a0517bcb..79219fae 100644
Binary files a/data/supported_models.rda and b/data/supported_models.rda differ
diff --git a/man/model_get_weights.Rd b/man/model_get_weights.Rd
index e7054891..9da7a2bf 100644
--- a/man/model_get_weights.Rd
+++ b/man/model_get_weights.Rd
@@ -25,7 +25,7 @@ model_get_weights(model)
 This function does not cover \code{lavaan} models (\code{NULL} is returned).
 }
 \note{
-For class \code{svrepglm} objects (glm on a survey object with replicate weights),
+For class \code{svrepglm} objects (GLM on a survey object with replicate weights),
 it will return the original sampling weights of the data, not the replicate
 weights.
 }
diff --git a/man/supported_models.Rd b/man/supported_models.Rd
index fa3e344d..c6b02a49 100644
--- a/man/supported_models.Rd
+++ b/man/supported_models.Rd
@@ -42,6 +42,7 @@ Listing of Supported Models
    \code{MASS::polr()} \tab  \cr
    \code{mgcv::gam()} \tab Use default tidier \code{broom::tidy()} for smooth terms only, or \code{gtsummary::tidy_gam()} to include parametric terms \cr
    \code{mice::mira} \tab Limited support. If \code{mod} is a \code{mira} object, use \code{tidy_fun = function(x, ...) {mice::pool(x) \%>\% mice::tidy(...)}} \cr
+   \code{mmrm::mmrm()} \tab  \cr
    \code{multgee::nomLORgee()} \tab Experimental support. Use \code{tidy_multgee()} as \code{tidy_fun}. \cr
    \code{multgee::ordLORgee()} \tab Experimental support. Use \code{tidy_multgee()} as \code{tidy_fun}. \cr
    \code{nnet::multinom()} \tab  \cr
diff --git a/tests/testthat/test-tidy_plus_plus.R b/tests/testthat/test-tidy_plus_plus.R
index 204160c9..591777fb 100644
--- a/tests/testthat/test-tidy_plus_plus.R
+++ b/tests/testthat/test-tidy_plus_plus.R
@@ -911,6 +911,38 @@ test_that("tidy_plus_plus() works with betareg::betareg() models", {
   expect_equal(nrow(res), 24)
 })
 
+test_that("tidy_plus_plus() works with mmrm::mmrm() models", {
+  skip_on_cran()
+  skip_if_not_installed("mmrm")
+
+  m1 <- mmrm::mmrm(FEV1 ~ SEX + ARMCD + AVISIT + us(AVISIT | USUBJID), data = mmrm::fev_data)
+  m2 <- mmrm::mmrm(FEV1 ~ SEX + ARMCD * AVISIT + us(AVISIT | USUBJID), data = mmrm::fev_data)
+
+  expect_error(
+    res <- m1 %>% tidy_plus_plus(intercept = TRUE),
+    NA
+  )
+  expect_equal(nrow(res), 9)
+
+  expect_error(
+    res <- m1 %>% tidy_plus_plus(add_header_rows = TRUE),
+    NA
+  )
+  expect_equal(nrow(res), 11)
+
+  expect_error(
+    res <- m2 %>% tidy_plus_plus(intercept = TRUE),
+    NA
+  )
+  expect_equal(nrow(res), 12)
+
+  expect_error(
+    res <- m2 %>% tidy_plus_plus(add_header_rows = TRUE),
+    NA
+  )
+  expect_equal(nrow(res), 15)
+})
+
 test_that("tidy_post_fun argument of `tidy_plus_plus()`", {
   mod <- lm(Petal.Length ~ Petal.Width + Species, iris)