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> library(BradleyTerry2)
Loading required package: lme4
Loading required package: Matrix
> data(flatlizards, package = "BradleyTerry2")
>
> result <- rep(1, nrow(flatlizards$contests))
> BTmodel1 <- BTm(result, winner, loser,
+ ~ throat.PC1[..] + throat.PC3[..] + (1|..),
+ data = flatlizards,
+ tol = 1e-4, sigma = 2, trace = TRUE)
Iteration 1. Score = 5.077924
Iteration 2. Score = 1.087963
Iteration 3. Score = 0.2062877
Iteration 4. Score = 0.01989172
Iteration 5. Score = 0.001411764
Iteration 6. Score = 9.04485e-05
>
> drop1(BTmodel1)
Single term deletions
Model: ~throat.PC1[..] + throat.PC3[..] + (1 | ..)
Statistic Df
`throat.PC1[..]` 3.4143 1
`throat.PC3[..]` 5.0560 1
>
> add1(BTmodel1, ~ . + head.length[..] + SVL[..], test = "Chisq")
Single term additions
Model: ~throat.PC1[..] + throat.PC3[..] + (1 | ..)
Statistic Df P(>|Chi|)
head.length[..] 4.4730 1 0.03443 *
SVL[..] 2.6624 1 0.10275
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
> BTmodel2 <- update(BTmodel1, formula = ~ . + head.length[..])
Iteration 1. Score = 4.513682
Iteration 2. Score = 1.312929
Iteration 3. Score = 0.2792263
Iteration 4. Score = 0.0301132
Iteration 5. Score = 0.002205424
Iteration 6. Score = 0.0001348541
>
> drop1(BTmodel2, test = "Chisq")
Single term deletions
Model: ~throat.PC1[..] + throat.PC3[..] + (1 | ..) + head.length[..]
Statistic Df P(>|Chi|)
`throat.PC1[..]` 4.0522 1 0.04411 *
`throat.PC3[..]` 7.2577 1 0.00706 **
`head.length[..]` 4.4730 1 0.03443 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
> proc.time()
user system elapsed
1.824 0.024 1.852
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