Runs linearity tests for multi-level ordered categories.

Runs linearity tests for multi-level ordered categories.

Usage

run_linearity_tests()

Value

list containing gt table ('summary_table') and combined plot ('dashboard')

Examples

lin <- run_linearity_tests()
#> Testing linearity for: age
#> Testing linearity for: frailty
#> Testing linearity for: life_expectancy
#> Testing linearity for: disability_cardiovascular
#> Testing linearity for: disability_pulmonary
#> Testing linearity for: disability_renal
#> Testing linearity for: disability_neurological
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
lin$summary_table


  
Linearity Diagnostics for Ordered Covariates
    
Covariate
      
Likelihood-ratio test (p)1
      
Quadratic term (p)2
      
AIC: linear model3
      
AIC: categorical model3
      
Preferred functional form
    
Age (years)
0.020
0.934
1128.3
1124.5
Non-linear
Frailty at hospital admission
0.842
0.842
1249
1251
Linear
Life expectancy (pre-admission)
< 0.001
< 0.001
1187.6
1173.9
Non-linear
Cardiovascular impairment
0.360
0.548
1249.1
1251
Linear
Pulmonary impairment
0.002
0.002
1245.5
1237.8
Non-linear
Renal impairment
0.012
0.013
1243.4
1239.1
Non-linear
Neurological impairment
0.819
0.819
1248.3
1250.2
Linear
1 Likelihood-ratio test comparing linear vs. level-specific coeficients model.
    
2 Wald test for the quadratic (x²) term in a polynomial model.
    
3 Akaike Information Criterion; lower values indicate better relative model support.