report_performance: Report the model's quality and fit indices

In neuropsychology/report: Automated Reporting of Results and Statistical Models

Report the model's quality and fit indices

Description

Investigating the fit of statistical models to data often involves selecting the best fitting model amongst many competing models. This function helps report indices of model fit for various models. Reports the type of different R objects . For a list of supported objects, see report()).

Usage

report_performance(x, table = NULL, ...)

Arguments

x	The R object that you want to report (see list of of supported objects above).
table	A table obtained via report_table(). If not provided, will run it.
...	Arguments passed to or from other methods.

Value

An object of class report_performance().

Examples

# GLMs
report_performance(lm(Sepal.Length ~ Petal.Length * Species, data = iris))
report_performance(glm(vs ~ disp, data = mtcars, family = "binomial"))




# Mixed models
library(lme4)
model <- lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
report_performance(model)




# Bayesian models
library(rstanarm)
model <- suppressWarnings(stan_glm(Sepal.Length ~ Species, data = iris, refresh = 0, iter = 600))
report_performance(model)




# Structural Equation Models (SEM)
library(lavaan)
structure <- "ind60 =~ x1 + x2 + x3
              dem60 =~ y1 + y2 + y3
              dem60 ~ ind60 "
model <- lavaan::sem(structure, data = PoliticalDemocracy)
suppressWarnings(report_performance(model))

neuropsychology/report documentation built on April 3, 2024, 4:08 p.m.