PGM(A, pvec, maxiter = 500, tol=1e-07, told=2e-05, tolbis=1e-08, keepiter=FALSE)
A
is either the m by n clique matrix or the n by 2
matrix containing the left and right end points for each event time. told
does not seem to be used. icsurv
containing the following
components:
pvec
. pvec
.pvec
.pf
and the previous
iterate. maxiter
iterations. keepiter
is true then this is a matrix
containing all iterations - useful for debugging.pvec
is obtained using the bisection algorithm, moving
in the selected direction. Convergence requires both the $L_1$
distance for the improved pvec
and the change in likelihood to
be below tol
.
VEM
, ISDM
, EMICM
,
PGM
, EM
data(cosmesis)
csub1 <- subset(cosmesis, subset=Trt==0, select=c(L,R))
PGM(csub1)
data(pruitt)
PGM(pruitt)
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