classify_distribution

<p>Mean accuracy and Kappa of 0.86 and 0.85, repsectively.</p>

datasets

Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages. These
include e.g. measures like r-squared, intraclass correlation coefficient
(Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>),
root mean squared error or functions to check models for overdispersion,
singularity or zero-inflation and more. Functions apply to a large variety of
regression models, including generalized linear models, mixed effects models
and Bayesian models.

Daniel Lüdecke

performance

Assessment of Regression Models Performance

Daniel L<c3><bc>decke

Dominique Makowski

Philip Waggoner

Indrajeet Patil

Mattan S. Ben-Shachar

classify_distribution function

<p>An object of class <code>randomForest.formula</code> (inherits from <code>randomForest</code>) of length 8.</p>

Format

Machine learning model trained to classify distributions — classify_distribution

Machine learning model trained to classify distributions

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classify_distribution: Machine learning model trained to classify distributions

Description

Usage

Arguments

Format