fix readme

README.Rmd

@@ -10,7 +10,7 @@ output:
 [![codecov](https://codecov.io/github/epiforecasts/scoringutils/branch/main/graph/badge.svg)](https://app.codecov.io/gh/epiforecasts/scoringutils) 
 [![CRAN\_Release\_Badge](https://www.r-pkg.org/badges/version-ago/scoringutils)](https://CRAN.R-project.org/package=scoringutils)
 ![GitHub R package version](https://img.shields.io/github/r-package/v/epiforecasts/scoringutils)
-[![metacran downloads](http://cranlogs.r-pkg.org/badges/grand-total/scoringutils)](https://cran.r-project.org/package=scoringutils)
+[![metacrandownloads](http://cranlogs.r-pkg.org/badges/grand-total/scoringutils)](https://cran.r-project.org/package=scoringutils)
 <!-- badges: end -->
 
 

README.md

@@ -8,8 +8,7 @@ scoringutils: Utilities for Scoring and Assessing Predictions
 [![CRAN_Release_Badge](https://www.r-pkg.org/badges/version-ago/scoringutils)](https://CRAN.R-project.org/package=scoringutils)
 ![GitHub R package
 version](https://img.shields.io/github/r-package/v/epiforecasts/scoringutils)
-[![metacran
-downloads](http://cranlogs.r-pkg.org/badges/grand-total/scoringutils)](https://cran.r-project.org/package=scoringutils)
+[![metacrandownloads](http://cranlogs.r-pkg.org/badges/grand-total/scoringutils)](https://cran.r-project.org/package=scoringutils)
 <!-- badges: end -->
 
 **Note**: [This
@@ -77,21 +76,24 @@ probabilistic forecast for a continuous or discrete outcome variable,
 with the forecast distribution represented by a set of predictive
 quantiles. - `sample`: a probabilistic forecast for a continuous or
 discrete outcome variable, with the forecast represented by a finite set
-of samples drawn from the predictive distribution.
+of samples drawn from the predictive distribution. - `nominal`
+categorical forecast with unordered outcome possibilities
+(generalisation of binary forecasts to multiple outcomes)
 
 ### Input formats and input validation
 
 The expected input format is generally a `data.frame` (or similar) with
-required columns `observed`, `predicted`, and `model` that holds the
-forecasts and observed values. Exact requirements depend on the forecast
-type. For more information, have a look at the
+required columns `observed`, and `predicted` that holds the forecasts
+and observed values. Exact requirements depend on the forecast type. For
+more information, have a look at the
 [paper](https://drive.google.com/file/d/1URaMsXmHJ1twpLpMl1sl2HW4lPuUycoj/view?usp=drive_link),
-call `?as_forecast()`, or have a look at the example data provided in
-the package (`example_binary`, `example_point`, `example_quantile`,
-`example_sample_continuous`, `example_sample_discrete`).
+call `?as_forecast_binary`, `?as_forecast_quantile` etc., or have a look
+at the example data provided in the package (`example_binary`,
+`example_point`, `example_quantile`, `example_sample_continuous`,
+`example_sample_discrete`, `example_nominal`).
 
 Before scoring, input data needs to be validated and transformed into a
-forecast object using the function `as_forecast()`.
+forecast object using one of the `as_forecast_<type>()` functions.
 
 ``` r
 forecast_quantile <- example_quantile |>
@@ -254,7 +256,9 @@ Health.
 ## Contributors
 
 <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
+
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+
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 All contributions to this project are gratefully acknowledged using the
@@ -291,5 +295,7 @@ specification. Contributions of any kind are welcome!
 <a href="https://github.com/epiforecasts/scoringutils/issues?q=is%3Aissue+commenter%3Akathsherratt">kathsherratt</a>
 
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+
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+
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