llrwtfrp:

In musto101/wilcox_R: What the package does (short line)

Usage

llrwtfrp(x, y)

Arguments

x
y

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x, y) 
{
    q <- 5
    out <- glm(y ~ x[, 1] + x[, 2] + x[, 3] + x[, 4] + x[, 5], 
        family = poisson)
    ESP <- x %*% out$coef[-1] + out$coef[1]
    Z <- y
    Z[y < 1] <- Z[y < 1] + 0.5
    out2 <- lsfit(x, y = log(Z), wt = Z)
    WRES <- out2$res
    WFIT <- sqrt(Z) * log(Z) - WRES
    MWRES <- sqrt(Z) * (log(Z) - x %*% out$coef[-1] - out$coef[1])
    MWFIT <- sqrt(Z) * log(Z) - MWRES
    par(mfrow = c(2, 2))
    plot(WFIT, sqrt(Z) * log(Z))
    abline(0, 1)
    title("a) Weighted Forward Response Plot")
    plot(WFIT, WRES)
    title("b) Weighted Residual Plot")
    plot(MWFIT, sqrt(Z) * log(Z))
    abline(0, 1)
    title("c) WFRP Based on MLE")
    plot(MWFIT, MWRES)
    title("d) WRP Based on MLE")
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.