findagoodestimator(dat,w)
safe.pch(obj, eps = 1e-6)
quickpred(obj,y)
check.in.ctqr(z,y,d,x,off,weights, breaks)
start(CDF, p, x, y, off, weights)
ee.u(beta, tau, CDF, V)
ee.cens(beta, tau, CDF, V)
ee.cens.trunc(beta, tau, CDF, V)
qr.gs(beta0, check, p, CDF, a = 0.5, b = 1.5, maxit = 1000, tol = 1e-6, type)
"nobs"(object, ...)
"vcov"(object, ...)
"coef"(object, ...)
"print"(x, digits = max(3L, getOption("digits") - 3L), ...)
"summary"(object, ...)
"print.summary"(x, digits = max(3L, getOption("digits") - 3L), ...)
firstep(obj, z,y,d,w)
asy.qr(z,y,d,x, weights, p, CDF, fit, fit.ok)