emplik-internal            package:emplik            R Documentation

_I_n_t_e_r_n_a_l _e_m_p_l_i_k _f_u_n_c_t_i_o_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     Internal emplik functions

_U_s_a_g_e:

     logelr(x,mu,lam)
     logwelr(x,mu,wt,lam)
     gradf(z,wt,lam)
     llog(z, eps)
     llogp(z, eps)
     llogpp(z, eps)
     Wdataclean2(z,d,wt=rep(1,length(z)))
     Wdataclean3(z,d,zc=rep(1, length(z)),wt=rep(1,length(z)))
     Wdataclean5(z,d,zc=rep(1, length(z)),wt=rep(1,length(z)),xmat)
     DnR(x,d,w,y=rep(-Inf,length(x)))
     solve3.QP(D, d, A, b, meq, factorized=FALSE)
     WKM(x,d,zc=rep(1,length(d)),w=rep(1,length(d)))
     WCY(x,d,zc=rep(1,length(d)),wt=rep(1,length(d)),maxit=25,error=1e-09)
     LTRC(x,d,w=rep(1, length(d)),y=rep(-Inf, length(x)))
     el.test.wt3(x,wt,mu,maxit,gradtol,Hessian,svdtol,itertrace)
     iter(x, y, delta, beta)
     MMRtime(x, d, age)
     redistF(y, d, Fdist)
     gradf2(lam, funt1, evt1, rsk1, funt2, evt2, rsk2, K, n)
     gradf3(lam, funt1, evt1, rsk1, funt2, evt2, rsk2, K, n)

_D_e_t_a_i_l_s:

     These are not intended to be called by the user. 

     'Wdataclean2' and 'DnR' are used by the functions 'emplikH1.test',
      'emplikH2.test' and 'emplikdisc.test'.  It is also used by 
     'LTRC'.  

     'DnR' take the survival data as input, compute the number at risk 
     and number of observed events, and output only those time points
     where there is some events. Notice the input must be ordered! We
     should use Wdataclean2/3/5( ) first and then use the outpt there
     as the input of DnR.

     'Wdataclean2' will sort the data and collaps those that are true
     ties, and the number of tied value is in the weights.

     'logelr', 'llog', 'llogp' and 'llogpp'  are used by function
     'el.test'. They are from Owen.

     'Wdataclean2', 'WKM' and 'solve3.QP' are used by function
     'el.cen.test'.  WKM() is the weighted Kaplan-Meier.

     'WCY' is the weighted Chang and Yang self-consistent estimator for
     doubly censored data.

     'Wdataclean2' is used by 'el.cen.EM'.

     'LTRC' is for Left Truncated and Right Censored data.

     'gradf3' is used by the function emplikHs.test2. (and stored
     there)

     'el.test.wt3' are similar to 'el.test.wt' and 'el.test.wt2',  but
     can take vector mean as constraint. 'llog', 'llogp' and 'llogpp'
     are used by both 'el.test.wt3' and 'el.test.wt2'. In addition
     'logwelr' is used by 'el.test.wt3'.

     'MMRtime' estimate the Mean and Median residual life time at age
     with right censored data.

     'iter' is for perform one iteration of EM in the Buckley-James
     censored regression estimation. 'redistF' is for redistribution of
     probability, according to Fdist. Used in BJtest().

