Nothing
require(glarma)
### Boat Race:
data(OxBoatRace)
y1 <- OxBoatRace$Camwin
n1 <- rep(1, length(OxBoatRace$Year))
Y <- cbind(y1, n1 - y1)
X <- cbind(OxBoatRace$Intercept, OxBoatRace$Diff)
colnames(X) <- c("Intercept", "Weight Diff")
oxcamglm <- glm(Y ~ Diff + I(Diff^2),
data = OxBoatRace,
family = binomial(link = "logit"), x = TRUE)
X <- oxcamglm$x
glarmamod <- glarma(Y, X, thetaLags = c(1, 2), type = "Bin", method = "NR",
residuals = "Pearson", maxit = 100, grad = 1e-6)
summary(glarmamod)
par(mfrow=c(3,2))
plot(glarmamod)
### model adequate - test using randomized PIT?
rt <- normRandPIT(glarmamod)$rt
par(mfrow = c(2,2))
hist(rt, main = "Histogram of Randomized Residuals",
xlab = expression(r[t]))
qqnorm(rt, main = "Q-Q Plot of Randomized Residuals" )
abline(0, 1, lty = 2)
acf(rt, main = "ACF of Randomized Residuals")
pacf(rt, main = "PACF of Randomized Residuals")
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.