assert_dims_ok_point: Assert Inputs Have Matching Dimensions

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Assert Inputs Have Matching Dimensions

Description

Function assesses whether input dimensions match. In the following, n is the number of observations / forecasts. Scalar values may be repeated to match the length of the other input. Allowed options are therefore:

• observed is vector of length 1 or length n

• predicted is:

  • a vector of of length 1 or length n

  • a matrix with n rows and 1 column

Usage

assert_dims_ok_point(observed, predicted)

Arguments

observed	Input to be checked. Should be a factor of length n with exactly two levels, holding the observed values. The highest factor level is assumed to be the reference level. This means that predicted represents the probability that the observed value is equal to the highest factor level.
predicted	Input to be checked. predicted should be a vector of length n, holding probabilities. Alternatively, predicted can be a matrix of size n x 1. Values represent the probability that the corresponding value in observed will be equal to the highest available factor level.

Value

Returns NULL invisibly if the assertion was successful and throws an error otherwise.

epiforecasts/scoringutils documentation built on Dec. 11, 2024, 11:12 a.m.