tests/testthat/_snaps/S3-methods.md
In hturner/PlackettLuce: Plackett-Luce Models for Rankings
output of print.PlackettLuce is correct
Call: PlackettLuce(rankings = R)
Coefficients:
apple banana orange tie2
0.0000 0.2868 -0.4637 -1.0701
output of print.coef.PlackettLuce is correct
apple banana orange tie2
0.0000000 0.2867987 -0.4636687 -1.0701129
output of print.summary.PlackettLuce is correct
Call: PlackettLuce(rankings = R)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
apple 0.0000 NA NA NA
banana 0.2868 1.0129 0.283 0.777
orange -0.4637 1.0280 -0.451 0.652
tie2 -1.0701 0.9043 -1.183 0.237
Residual deviance: 21.61 on 25 degrees of freedom
AIC: 27.61
Number of iterations: 5
output of fitted.PlackettLuce is correct
{
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"value": ["choices", "alternatives", "ranking", "fitted", "n"]
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"type": "integer",
"attributes": {},
"value": [14]
},
"objects": {
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"attributes": {},
"value": ["apple", "banana", "orange"]
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"attributes": {},
"value": [1, 2, 3, 4, 5, 6, 7]
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"class": {
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hturner/PlackettLuce documentation built on July 6, 2023, 7:34 a.m.
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output of print.PlackettLuce is correct
Call: PlackettLuce(rankings = R)
Coefficients:
apple banana orange tie2
0.0000 0.2868 -0.4637 -1.0701
output of print.coef.PlackettLuce is correct
apple banana orange tie2
0.0000000 0.2867987 -0.4636687 -1.0701129
output of print.summary.PlackettLuce is correct
Call: PlackettLuce(rankings = R)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
apple 0.0000 NA NA NA
banana 0.2868 1.0129 0.283 0.777
orange -0.4637 1.0280 -0.451 0.652
tie2 -1.0701 0.9043 -1.183 0.237
Residual deviance: 21.61 on 25 degrees of freedom
AIC: 27.61
Number of iterations: 5
output of fitted.PlackettLuce is correct
{
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"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["choices", "alternatives", "ranking", "fitted", "n"]
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"attributes": {},
"value": [14]
},
"objects": {
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"attributes": {},
"value": ["apple", "banana", "orange"]
},
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"attributes": {},
"value": [1, 2, 3, 4, 5, 6, 7]
},
"class": {
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"attributes": {},
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}
},
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}
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