Nothing
library(BradleyTerry2)
## refcat is not the first level
## Convert frequencies to success/failure data
citations.sf <- countsToBinomial(citations)
names(citations.sf)[1:2] <- c("journal1", "journal2")
## First fit the "standard" Bradley-Terry model
citeModel <- BTm(cbind(win1, win2), journal1, journal2, data = citations.sf)
BTabilities(citeModel)
## Now the same thing with a different "reference" journal
citeModel2 <- update(citeModel, refcat = "JASA")
BTabilities(citeModel2)
## modelled by covariates where some parameters inestimable
summary(chameleon.model <- BTm(player1 = winner, player2 = loser,
formula = ~ prev.wins.2 + ch.res[ID] + prop.main[ID] + (1|ID), id = "ID",
data = chameleons))
head(BTabilities(chameleon.model))
## sum to zero contrasts
mod3 <- BTm(cbind(win1, win2), journal1,
journal2, ~ journal, id = "journal", x = FALSE,
contrasts = list(journal = "contr.sum"), data = citations.sf)
citations.sf$journal1 <- C(citations.sf$journal1, "contr.sum")
citations.sf$journal2 <- C(citations.sf$journal2, "contr.sum")
mod3b <-
BTm(cbind(win1, win2), journal1, journal2, ~ journal, id = "journal",
x = FALSE, data = citations.sf)
BTabilities(mod3)
BTabilities(mod3b)
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