tests/testthat/_snaps/S3-methods-PLADMM.md

In PlackettLuce: Plackett-Luce Models for Rankings

output of print.PLADMM is correct

Call: pladmm(rankings = salad_rankings, formula = ~acetic + gluconic, 
    data = features, rho = 8)

Coefficients:
(Intercept)       acetic     gluconic  
    -4.8410       3.2743       0.2739

output of print.summary.PLADMM is correct

Call: pladmm(rankings = salad_rankings, formula = ~acetic + gluconic, 
    data = features, rho = 8)

Coefficients:
            Estimate Std. Error z value Pr(>|z|)    
(Intercept) -4.84097         NA      NA       NA    
acetic       3.27431    0.57650   5.680 1.35e-08 ***
gluconic     0.27392    0.04505   6.081 1.20e-09 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual deviance:  152.9 on 190 degrees of freedom
AIC:  156.9 
Number of iterations: 14

PlackettLuce documentation built on July 9, 2023, 7:12 p.m.