## S3 method for class 'glmrob':
print(x, digits = max(3, getOption("digits") - 3), ...)glmrobMqle(X, y, weights = rep(1, nobs), start = NULL,
offset = rep(0, nobs), family, weights.on.x = "none",
control = glmrobMqle.control(), intercept = TRUE)
glmrobMqleEpsiB (mu, Vmu, ni, H, K, tcc)
glmrobMqleEpsiPois (mu, Vmu, ni, H, K, tcc)
glmrobMqleEpsiSB (mu, Vmu, ni, H, K, tcc)
glmrobMqleEpsiSPois (mu, Vmu, ni, H, K, tcc)
glmrobMqleEpsi2B (mu, Vmu, ni, H, K, tcc)
glmrobMqleEpsi2Pois (mu, Vmu, ni, H, K, tcc)
glmrobMqleDiffQuasiDevB (mu, mu0, y, ni, w.x, tcc)
glmrobMqleDiffQuasiDevPois(mu, mu0, y, ni, w.x, tcc)
glmrobMqleHii(X)
glmrobMqleRobDist(X, intercept) print.nlrob(x, ...)predict.nlrob(object, newdata, ...)
print.nlrob(x, ...)
residuals.nlrob(object, ...)psi.bisquare(u, c = 4.685, deriv = 0, rho = FALSE)
psi.hampel(u, a = 2, b = 4, c = 8, deriv = 0, rho = FALSE)
psi.huber(u, k = 1.345, deriv = 0, rho = FALSE)