This package is based on R code el.cen.EM, el.cen.EM2, el.trun.test emplikH1, emplikH2, emplikdisc.test and el.cen.test, etc. written by Mai Zhou. The code el.test is ported from S code ELM() by Art Owen. el.test() can handle vector means as null hypothesis (several mean parameters), but data must be uncensored. When dealing with censored data, use el.cen.EM2() to handle vector means. Many other code in this package can only handle one parameter in H0. But that parameter(s) can be mean/hazard/quantile, and the function can also take censored/truncated data as inputs. The name convention: el.xxx for the parameter of mean(s). emplikxxx for the parameter of hazard(s). Release History: Pre-beta 1998--1999 Version 0.1-2 Nov. 12, 2001 Version 0.2-1 Jan. 10, 2002 Version 0.3 Feb. 18, 2002 Version 0.4 Apr. 6, 2002 Version 0.5 Apr. 24, 2002 Version 0.5-1 Apr. 25, 2002 Version 0.6 May 13, 2002 Version 0.7 Oct. 12, 2002 Version 0.7-3 Jan. 12, 2003 Version 0.7-4 July 20, 2003 Version 0.8 March 18, 2004 Version 0.8-1 June 14, 2004 Version 0.8-2 Sept. 10, 2004 Version 0.8-3 March 24, 2005 Version 0.8-4 March 25, 2005 Version 0.9 April 15, 2005 Version 0.9-1 April 24, 2005 Version 0.9-2 Oct. 9, 2005 Version 0.9-3 Aug. 2006 Add function findLnew(), findUnew(). 6/2022. Add function el.cen.kmc1d() in version 1.1-2, which is much faster than el.cen.EM(). But it sometimes fail to find the right answer. To do list: Speed up with solve(A,b) instead of finding the full inverse matrix by svd and compute A{-1}*b . See emplikH2.test2() for an example. Integrate the kmc package into emplik package.