diff --git a/.Rbuildignore b/.Rbuildignore
index 01ddd28..e6e6215 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -18,3 +18,4 @@
 ^codemeta\.json$
 ^CODE_OF_CONDUCT\.md$
 ^src/.*\.o$
+^dev\.R$
diff --git a/DESCRIPTION b/DESCRIPTION
index f42f776..af23c5d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -11,7 +11,8 @@ Depends: R (>= 4.1.0)
 Imports:
     Rcpp (>= 1.0.12),
     rlang (>= 1.1.0),
-    yardstick (>= 1.3.1)
+    yardstick (>= 1.3.1),
+    checkmate (>= 2.3.1)
 LinkingTo: Rcpp
 Roxygen: list(markdown = TRUE)
 RoxygenNote: 7.3.2
@@ -26,3 +27,16 @@ URL: https://github.com/atsyplenkov/tidyhydro, https://atsyplenkov.github.io/tid
 BugReports: https://github.com/atsyplenkov/tidyhydro/issues
 LazyData: true
 Config/Needs/website: bench, ggplot2, quarto, lubridate, dplyr
+Collate: 
+    'RcppExports.R'
+    'aaa-new.R'
+    'central-tendency.R'
+    'data.R'
+    'kge.R'
+    'mse.R'
+    'nse.R'
+    'pbias.R'
+    'press.R'
+    'sfe.R'
+    'tidyhydro-package.R'
+    'variability.R'
diff --git a/NAMESPACE b/NAMESPACE
index 28f3986..1e63bf2 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -2,15 +2,10 @@ useDynLib(tidyhydro, .registration = TRUE)
 importFrom(Rcpp, evalCpp)
 # exportPattern("^[[:alpha:]]+")
 
-S3method(nse, data.frame)
-S3method(kge, data.frame)
-S3method(kge2012, data.frame)
-S3method(mse, data.frame)
-S3method(rmse, data.frame)
-S3method(pbias, data.frame)
-S3method(press, data.frame)
-S3method(cv, data.frame)
-S3method(sfe, data.frame)
+S3method(print, measure)
+S3method(format, measure)
+
+# general functions
 export(nse)
 export(kge)
 export(kge2012)
@@ -20,6 +15,21 @@ export(pbias)
 export(press)
 export(sfe)
 export(cv)
+export(gm)
+
+# data.frame methods
+S3method(nse, data.frame)
+S3method(kge, data.frame)
+S3method(kge2012, data.frame)
+S3method(mse, data.frame)
+S3method(rmse, data.frame)
+S3method(pbias, data.frame)
+S3method(press, data.frame)
+S3method(sfe, data.frame)
+S3method(cv, data.frame)
+S3method(gm, data.frame)
+
+# vector functions
 export(nse_vec)
 export(kge_vec)
 export(kge2012_vec)
@@ -29,3 +39,4 @@ export(pbias_vec)
 export(press_vec)
 export(sfe_vec)
 export(cv_vec)
+export(gm_vec)
diff --git a/R/aaa-new.R b/R/aaa-new.R
new file mode 100644
index 0000000..01064be
--- /dev/null
+++ b/R/aaa-new.R
@@ -0,0 +1,73 @@
+# Modified after https://github.com/tidymodels/yardstick/blob/main/R/aaa-new.R
+
+#' Construct a new measure function
+#' @keywords summary_stats
+#'
+#' @description
+#' These functions provide convenient wrappers to create the three types of
+#' measure functions in `tidyhydro`: measures of central tendency, variability
+#' and symmetry. They add a measure-specific class to `fn` and
+#' mimic a behaviour of [metric_set][yardstick::metric_set]. These features
+#' are used by measure_set.
+#'
+#' See [Custom performance
+#' metrics](https://www.tidymodels.org/learn/develop/metrics/) for more
+#' information about creating custom metrics.
+#'
+#' @param fn A function. The measure function to attach a measure-specific class
+#'
+#' @name new-measure
+NULL
+
+#' @rdname new-measure
+#' @export
+new_tendency_measure <- function(fn) {
+  new_measure(fn, class = "tendency_measure")
+}
+
+#' @rdname new-measure
+#' @export
+new_var_measure <- function(fn) {
+  new_measure(fn, class = "var_measure")
+}
+
+#' @rdname new-measure
+#' @export
+new_sym_measure <- function(fn) {
+  new_measure(fn, class = "sym_measure")
+}
+
+new_measure <- function(fn, class = NULL) {
+  checkmate::assert_function(fn, args = "data")
+
+  class <- c(class, "measure", "function")
+
+  structure(fn, class = class)
+}
+
+is_measure <- function(x) {
+  inherits(x, "measure")
+}
+
+#' @noRd
+#' @export
+print.measure <- function(x, ...) {
+  cat(format(x), sep = "\n")
+  invisible(x)
+}
+
+#' @noRd
+#' @export
+format.measure <- function(x, ...) {
+  first_class <- class(x)[[1]]
+  measure_type <-
+    switch(
+      first_class,
+      "tendency_measure" = "Measure of Central Tendency",
+      "var_measure" = "Measure of Variability",
+      "sym_measure" = "Measure of Distribution Symmetry",
+      "measure"
+    )
+
+  cat(paste("A", measure_type))
+}
diff --git a/R/central-tendency.R b/R/central-tendency.R
new file mode 100644
index 0000000..749c094
--- /dev/null
+++ b/R/central-tendency.R
@@ -0,0 +1,66 @@
+#' Geometric Mean (GM)
+#' @keywords summary_stats
+#'
+#' @family descriptive statistics
+#' @templateVar fn gm
+#' @template return
+#'
+#' @param data A `data.frame` containing the columns specified by the `truth`
+#' and `estimate` arguments.
+#'
+#' @param truth The column identifier for the true results
+#' (that is `numeric`). This should be an unquoted column name although
+#' this argument is passed by expression and supports
+#' [quasiquotation][rlang::quasiquotation] (you can unquote column
+#' names). For `_vec()` functions, a `numeric` vector.
+#'
+#' @param na_rm A `logical` value indicating whether `NA`
+#' values should be stripped before the computation proceeds.
+#'
+#' @param ... Not currently used.
+#'
+#' @template examples-description
+#'
+#' @export
+#'
+
+# TODO:
+# Add tests
+
+gm <- function(data, ...) {
+  UseMethod("gm")
+}
+
+gm <- new_tendency_measure(gm)
+
+#' @rdname gm
+#' @export
+gm.data.frame <- function(
+  data,
+  truth,
+  na_rm = TRUE,
+  ...
+) {
+  yardstick::numeric_metric_summarizer(
+    name = "gm",
+    fn = gm_vec,
+    data = data,
+    truth = !!rlang::enquo(truth),
+    estimate = !!rlang::enquo(truth),
+    na_rm = na_rm
+  )
+}
+
+#' @rdname gm
+#' @export
+gm_vec <- function(
+  truth,
+  na_rm = TRUE,
+  ...
+) {
+  checkmate::assert_numeric(
+    truth,
+    lower = 1e-323
+  )
+  exp(mean(log(truth), na.rm = na_rm))
+}
diff --git a/R/kge.R b/R/kge.R
index d126ff2..70ff4fa 100644
--- a/R/kge.R
+++ b/R/kge.R
@@ -42,8 +42,7 @@
 #' For further discussion, see Knoben et al. (2019), who caution against
 #' directly translating NSE-based interpretation thresholds to KGE.
 #'
-#' @family numeric metrics
-#' @family accuracy metrics
+#' @family KGE variants
 #' @templateVar fn kge
 #' @template return
 #'
@@ -170,8 +169,7 @@ kge_vec <- function(
 #' For further discussion, see Knoben et al. (2019), who caution against
 #' directly translating NSE-based interpretation thresholds to KGE.
 #'
-#' @family numeric metrics
-#' @family accuracy metrics
+#' @family KGE variants
 #' @templateVar fn kge2012
 #' @template return
 #'
diff --git a/R/nse.R b/R/nse.R
index 805a25c..bf1c330 100644
--- a/R/nse.R
+++ b/R/nse.R
@@ -35,8 +35,7 @@
 #' - **Satisfactory** -- 0.5 < `nse()` < 0.6
 #' - **Poor** -- `nse()` <= 0.5
 #'
-#' @family numeric metrics
-#' @family accuracy metrics
+#' @family NSE variants
 #' @templateVar fn nse
 #' @template return
 #'
diff --git a/R/pbias.R b/R/pbias.R
index 4c4f069..03bcf7b 100644
--- a/R/pbias.R
+++ b/R/pbias.R
@@ -33,7 +33,6 @@
 #' - **Poor** -- `pbias()` >= ±15.0
 #'
 #' @family numeric metrics
-#' @family accuracy metrics
 #' @templateVar fn pbias
 #' @template return
 #'
diff --git a/R/press.R b/R/press.R
index 308ce6f..975e7ae 100644
--- a/R/press.R
+++ b/R/press.R
@@ -35,8 +35,7 @@
 #' different transformations of response variable, e.g. linear regression and
 #' log-transformed linear regression (*Helsel et al., 2020*).
 #'
-#' @family numeric metrics
-#' @family accuracy metrics
+#' @family regression metrics
 #' @templateVar fn press
 #' @template return
 #'
diff --git a/R/sfe.R b/R/sfe.R
index 85e4639..072fbc3 100644
--- a/R/sfe.R
+++ b/R/sfe.R
@@ -19,8 +19,7 @@
 #'   \item \eqn{obs} defines model observations at time step \eqn{i}
 #' }
 #'
-#' @family numeric metrics
-#' @family accuracy metrics
+#' @family regression metrics
 #' @templateVar fn sfe
 #' @template return
 #'
diff --git a/R/variability.R b/R/variability.R
index 1cf353b..c06f7c4 100644
--- a/R/variability.R
+++ b/R/variability.R
@@ -1,8 +1,7 @@
 #' Coefficient of Variation (Cv)
-#' @keywords summary
+#' @keywords summary_stats
 #'
-#' @family numeric metrics
-#' @family accuracy metrics
+#' @family descriptive statistics
 #' @templateVar fn cv
 #' @template return
 #'
@@ -25,14 +24,14 @@
 #' @export
 #'
 
+# TODO:
+# Add tests
+
 cv <- function(data, ...) {
   UseMethod("cv")
 }
 
-cv <- yardstick::new_numeric_metric(
-  cv,
-  direction = "minimize"
-)
+cv <- new_var_measure(cv)
 
 #' @rdname cv
 #' @export
diff --git a/_pkgdown.yml b/_pkgdown.yml
index ffde41a..9110cb5 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -33,6 +33,10 @@ reference:
   contents:
   - has_keyword("regression")
 
+- title: "Summary statistics"
+  contents:
+  - has_keyword("summary_stats")
+
 - title: "Example datasets"
   contents:
   - has_keyword("data")
diff --git a/man-roxygen/examples-description.R b/man-roxygen/examples-description.R
index bdf06e4..68a1e2f 100644
--- a/man-roxygen/examples-description.R
+++ b/man-roxygen/examples-description.R
@@ -1,8 +1,9 @@
 #' @examples
 #' library(tidyhydro)
-#' data(avacha)
 #'
-#' # Supply truth and predictions as bare column names
+#' <%=fn %>
+#' 
+#' # Supply truth as bare column names
 #' <%=fn %>(avacha, obs)
 #'
 #' # Or as numeric vectors
diff --git a/man-roxygen/examples-numeric.R b/man-roxygen/examples-numeric.R
index 3067b21..471a729 100644
--- a/man-roxygen/examples-numeric.R
+++ b/man-roxygen/examples-numeric.R
@@ -1,6 +1,5 @@
 #' @examples
 #' library(tidyhydro)
-#' data(avacha)
 #'
 #' # Supply truth and predictions as bare column names
 #' <%=fn %>(avacha, obs, sim)
diff --git a/man/cv.Rd b/man/cv.Rd
index f7ff7d5..e657124 100644
--- a/man/cv.Rd
+++ b/man/cv.Rd
@@ -41,35 +41,18 @@ Coefficient of Variation (Cv)
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
-# Supply truth and predictions as bare column names
+cv
+
+# Supply truth as bare column names
 cv(avacha, obs)
 
 # Or as numeric vectors
 cv_vec(avacha$obs)
 }
 \seealso{
-Other numeric metrics: 
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-
-Other accuracy metrics: 
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
+Other descriptive statistics: 
+\code{\link{gm}()}
 }
-\concept{accuracy metrics}
-\concept{numeric metrics}
-\keyword{summary}
+\concept{descriptive statistics}
+\keyword{summary_stats}
diff --git a/man/gm.Rd b/man/gm.Rd
new file mode 100644
index 0000000..cabfd2d
--- /dev/null
+++ b/man/gm.Rd
@@ -0,0 +1,58 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/central-tendency.R
+\name{gm}
+\alias{gm}
+\alias{gm.data.frame}
+\alias{gm_vec}
+\title{Geometric Mean (GM)}
+\usage{
+gm(data, ...)
+
+\method{gm}{data.frame}(data, truth, na_rm = TRUE, ...)
+
+gm_vec(truth, na_rm = TRUE, ...)
+}
+\arguments{
+\item{data}{A \code{data.frame} containing the columns specified by the \code{truth}
+and \code{estimate} arguments.}
+
+\item{...}{Not currently used.}
+
+\item{truth}{The column identifier for the true results
+(that is \code{numeric}). This should be an unquoted column name although
+this argument is passed by expression and supports
+\link[rlang:topic-inject]{quasiquotation} (you can unquote column
+names). For \verb{_vec()} functions, a \code{numeric} vector.}
+
+\item{na_rm}{A \code{logical} value indicating whether \code{NA}
+values should be stripped before the computation proceeds.}
+}
+\value{
+A \code{tibble} with columns \code{.metric}, \code{.estimator},
+and \code{.estimate} and 1 row of values.
+
+For grouped data frames, the number of rows returned will be the same as
+the number of groups.
+
+For \code{gm_vec()}, a single \code{numeric} value (or \code{NA}).
+}
+\description{
+Geometric Mean (GM)
+}
+\examples{
+library(tidyhydro)
+
+gm
+
+# Supply truth as bare column names
+gm(avacha, obs)
+
+# Or as numeric vectors
+gm_vec(avacha$obs)
+}
+\seealso{
+Other descriptive statistics: 
+\code{\link{cv}()}
+}
+\concept{descriptive statistics}
+\keyword{summary_stats}
diff --git a/man/kge.Rd b/man/kge.Rd
index 422c1b7..77439d8 100644
--- a/man/kge.Rd
+++ b/man/kge.Rd
@@ -84,7 +84,6 @@ directly translating NSE-based interpretation thresholds to KGE.
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 kge(avacha, obs, sim)
@@ -104,26 +103,8 @@ Kling–Gupta efficiency scores. Hydrology and Earth System Sciences, 23,
 4323–4331. \doi{10.5194/hess-23-4323-2019}
 }
 \seealso{
-Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-
-Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
+Other KGE variants: 
+\code{\link{kge2012}()}
 }
-\concept{accuracy metrics}
-\concept{numeric metrics}
+\concept{KGE variants}
 \keyword{gof}
diff --git a/man/kge2012.Rd b/man/kge2012.Rd
index 784b553..157c0ee 100644
--- a/man/kge2012.Rd
+++ b/man/kge2012.Rd
@@ -88,7 +88,6 @@ directly translating NSE-based interpretation thresholds to KGE.
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 kge2012(avacha, obs, sim)
@@ -108,26 +107,8 @@ Kling–Gupta efficiency scores. Hydrology and Earth System Sciences, 23,
 4323–4331. \doi{10.5194/hess-23-4323-2019}
 }
 \seealso{
-Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-
-Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
+Other KGE variants: 
+\code{\link{kge}()}
 }
-\concept{accuracy metrics}
-\concept{numeric metrics}
+\concept{KGE variants}
 \keyword{gof}
diff --git a/man/mse.Rd b/man/mse.Rd
index 699612f..86fab4f 100644
--- a/man/mse.Rd
+++ b/man/mse.Rd
@@ -60,7 +60,6 @@ where:
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 mse(avacha, obs, sim)
@@ -82,24 +81,11 @@ e2020WR029001. \doi{10.1029/2020WR029001}
 }
 \seealso{
 Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{nse}()},
 \code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
+\code{\link{rmse}()}
 
 Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
+\code{\link{rmse}()}
 }
 \concept{accuracy metrics}
 \concept{numeric metrics}
diff --git a/man/new-measure.Rd b/man/new-measure.Rd
new file mode 100644
index 0000000..4ef32fc
--- /dev/null
+++ b/man/new-measure.Rd
@@ -0,0 +1,29 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/aaa-new.R
+\name{new-measure}
+\alias{new-measure}
+\alias{new_tendency_measure}
+\alias{new_var_measure}
+\alias{new_sym_measure}
+\title{Construct a new measure function}
+\usage{
+new_tendency_measure(fn)
+
+new_var_measure(fn)
+
+new_sym_measure(fn)
+}
+\arguments{
+\item{fn}{A function. The measure function to attach a measure-specific class}
+}
+\description{
+These functions provide convenient wrappers to create the three types of
+measure functions in \code{tidyhydro}: measures of central tendency, variability
+and symmetry. They add a measure-specific class to \code{fn} and
+mimic a behaviour of \link[yardstick:metric_set]{metric_set}. These features
+are used by \link{measure_set}.
+
+See \href{https://www.tidymodels.org/learn/develop/metrics/}{Custom performance metrics} for more
+information about creating custom metrics.
+}
+\keyword{summary_stats}
diff --git a/man/nse.Rd b/man/nse.Rd
index 5d1a878..8840d29 100644
--- a/man/nse.Rd
+++ b/man/nse.Rd
@@ -81,7 +81,6 @@ as follows:
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 nse(avacha, obs, sim)
@@ -99,27 +98,5 @@ and Water Quality Models: Performance Measures and Evaluation Criteria.
 Transactions of the ASABE, 58(6), 1763–1785.
 \doi{10.13031/trans.58.10715}
 }
-\seealso{
-Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-
-Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-}
-\concept{accuracy metrics}
-\concept{numeric metrics}
+\concept{NSE variants}
 \keyword{gof}
diff --git a/man/pbias.Rd b/man/pbias.Rd
index 47214d0..82b29a4 100644
--- a/man/pbias.Rd
+++ b/man/pbias.Rd
@@ -78,7 +78,6 @@ follows:
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 pbias(avacha, obs, sim)
@@ -99,25 +98,8 @@ multilevel expert calibration. J. Hydrologic Eng. 4(2): 135-143
 }
 \seealso{
 Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
 \code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-
-Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{press}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
+\code{\link{rmse}()}
 }
-\concept{accuracy metrics}
 \concept{numeric metrics}
 \keyword{gof}
diff --git a/man/press.Rd b/man/press.Rd
index 505e780..97d1c71 100644
--- a/man/press.Rd
+++ b/man/press.Rd
@@ -77,7 +77,6 @@ log-transformed linear regression (\emph{Helsel et al., 2020}).
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 press(avacha, obs, sim)
@@ -97,26 +96,8 @@ Gilroy, E. J. Statistical Methods in Water Resources. 484 (2020)
 \doi{10.3133/tm4A3}.
 }
 \seealso{
-Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{rmse}()},
-\code{\link{sfe}()}
-
-Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{rmse}()},
+Other regression metrics: 
 \code{\link{sfe}()}
 }
-\concept{accuracy metrics}
-\concept{numeric metrics}
+\concept{regression metrics}
 \keyword{regression}
diff --git a/man/rmse.Rd b/man/rmse.Rd
index b6d9e8d..010f6e2 100644
--- a/man/rmse.Rd
+++ b/man/rmse.Rd
@@ -57,7 +57,6 @@ where:
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 rmse(avacha, obs, sim)
@@ -67,24 +66,11 @@ rmse_vec(avacha$obs, avacha$sim)
 }
 \seealso{
 Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
 \code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{sfe}()}
+\code{\link{pbias}()}
 
 Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{sfe}()}
+\code{\link{mse}()}
 }
 \concept{accuracy metrics}
 \concept{numeric metrics}
diff --git a/man/sfe.Rd b/man/sfe.Rd
index 1925558..aab2c19 100644
--- a/man/sfe.Rd
+++ b/man/sfe.Rd
@@ -61,7 +61,6 @@ where:
 }
 \examples{
 library(tidyhydro)
-data(avacha)
 
 # Supply truth and predictions as bare column names
 sfe(avacha, obs, sim)
@@ -86,26 +85,8 @@ Standards, p. 138).
 \url{https://www.nems.org.nz/documents/suspended-sediment}
 }
 \seealso{
-Other numeric metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()}
-
-Other accuracy metrics: 
-\code{\link{cv}()},
-\code{\link{kge}()},
-\code{\link{kge2012}()},
-\code{\link{mse}()},
-\code{\link{nse}()},
-\code{\link{pbias}()},
-\code{\link{press}()},
-\code{\link{rmse}()}
+Other regression metrics: 
+\code{\link{press}()}
 }
-\concept{accuracy metrics}
-\concept{numeric metrics}
+\concept{regression metrics}
 \keyword{regression}