Nothing
"rad.lognormal" <-
function (x, family = poisson, ...)
{
x <- as.rad(x)
n <- length(x)
rnk <- -qnorm(ppoints(n))
fam <- family(link = "log")
## Must be > 2 species to fit a model
if (length(x) > 1)
ln <- try(glm(x ~ rnk, family = fam))
if (length(x) < 2) {
aic <- NA
dev <- rdf <- 0
ln <- nl <- NA
p <- rep(NA, 2)
fit <- x
res <- rep(0, length(x))
wts <- rep(1, length(x))
}
else if (inherits(ln, "try-error")) {
aic <- rdf <- ln <- nl <- dev <- NA
p <- rep(NA, 2)
fit <- res <- wts <- rep(NA, length(x))
}
else {
p <- coef(ln)
fit <- fitted(ln)
aic <- AIC(ln)
rdf <- df.residual(ln)
dev <- deviance(ln)
res <- ln$residuals
wts <- weights(ln)
}
names(p) <- c("log.mu", "log.sigma")
out <- list(model = "Log-Normal", family = fam, y = x,
coefficients = p, fitted.values = fit, aic = aic, rank = 2,
df.residual = rdf, deviance = dev, residuals = res,
prior.weights = wts)
class(out) <- c("radline", "glm")
out
}
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