Create reports for model comparison as obtained by the
performance::compare_performance()
function in the performance package.
Usage
# S3 method for class 'test_performance'
report(x, ...)
# S3 method for class 'test_performance'
report_table(x, ...)
# S3 method for class 'test_performance'
report_statistics(x, table = NULL, ...)
# S3 method for class 'test_performance'
report_parameters(x, table = NULL, ...)
# S3 method for class 'test_performance'
report_text(x, table = NULL, ...)Arguments
- x
Object of class
NEW OBJECT.- ...
Arguments passed to or from other methods.
- table
Provide the output of
report_table()to avoid its re-computation.
Value
An object of class report().
See also
Specific components of reports (especially for stats models):
Other types of reports:
Methods:
Template file for supporting new models:
Examples
# \donttest{
library(report)
library(performance)
m1 <- lm(Sepal.Length ~ Petal.Length * Species, data = iris)
m2 <- lm(Sepal.Length ~ Petal.Length + Species, data = iris)
m3 <- lm(Sepal.Length ~ Petal.Length, data = iris)
x <- performance::test_performance(m1, m2, m3)
r <- report(x)
r
#> We compared three models; lm (BF = 26.52), lm (BF = 4.20e-11) and lm (BF =
#> 26.52).
summary(r)
#> We compared three models; lm (), lm () and lm ().
as.data.frame(r)
#> Name | Model | BF | df | df_diff | Chi2 | p
#> ------------------------------------------------------
#> m1 | lm | | 7 | | |
#> m2 | lm | 26.52 | 5 | -2.00 | 3.47 | 0.177
#> m3 | lm | < 0.001 | 3 | -2.00 | 57.81 | < .001
#> Models were detected as nested (in terms of fixed parameters) and are compared in sequential order.
summary(as.data.frame(r))
#> Name | Model | BF | df | df_diff | Chi2 | p
#> ------------------------------------------------------
#> m1 | lm | | 7 | | |
#> m2 | lm | 26.52 | 5 | -2.00 | 3.47 | 0.177
#> m3 | lm | < 0.001 | 3 | -2.00 | 57.81 | < .001
#> Models were detected as nested (in terms of fixed parameters) and are compared in sequential order.
# Specific reports
report_table(x)
#> Name | Model | BF | df | df_diff | Chi2 | p
#> ------------------------------------------------------
#> m1 | lm | | 7 | | |
#> m2 | lm | 26.52 | 5 | -2.00 | 3.47 | 0.177
#> m3 | lm | < 0.001 | 3 | -2.00 | 57.81 | < .001
#> Models were detected as nested (in terms of fixed parameters) and are compared in sequential order.
report_statistics(x)
#> BF = 26.52
#> BF = 4.20e-11
report_parameters(x)
#> - lm (BF = 26.52)
#> - lm (BF = 4.20e-11)
#> - lm (BF = 26.52)
# }