#***see comments at top of genmax for description of the first #***arguments of this subroutine #it looks like ti is necessary to sned down the scaled information as well as the scaled and transformed x and y. # # # # #conlev (I) confidence level as a probability (e.g.0.95) # # # #kodef (I but should be O!) range kode for the function to be computed # 1 -infinity to +infinity # 2 greater than zero # 3 between 0 and 1 # # # #fargv(nargv) (I) double precision vector of arguments for the # function (e.g.times for failure probabilities # or probs for quantiles) # # #nargv (I) length of fargv (should be 0 if no argument) # # # #kfuncp (I) function number # x1 failure probability # x2 distribution quantile # x3 hazard rate # >100 user specified # # for more complicated models (e.g., model 1, 2, or 3) # x is the subpopulation number (0 for entire population) # # # # kpopu (I) for mixtures, specifies which population for quantiles # failure probs, etc. # # #kpoint (I) row number for getting explanatory variable conditions # send down kpoint=1 if no regression # # #vcvs(nparm,nparm) (I) double precision covariance matrix of thetas # # #epsxp (I) double precision epsilon for finite differences # if zero is sent down, 1.0d-08 is used (now hardwired) # # #fest(nargv) (O) estimates of function # #stderr(nargv) (O) estimated standard error of fest # #xlow(nargv) (O) lower confidence bounds # #xup(nargv) (O) upper confidence bound
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | GENFUN(
kmod,
kdist,
ilabp,
ilabd,
theta,
thetas,
kodet,
ifix,
nparm,
npard,
y,
ncoly,
nrownw,
x,
ncolx,
codes,
weight,
ty,
ncolty,
tcodes,
kprint,
kparv,
nrvar,
mrelat,
nrelat,
mnrvar,
conlev,
kodef,
fargv,
nargv,
kfuncp,
kpopu,
kpoint,
vcvs,
fest,
std_err,
xlow,
xup,
nxd,
intd,
ipxcd,
irelad,
ier,
llog,
kmodp,
maxpd,
nregr,
kmccde,
pfail,
npardm,
nnum,
kparm,
iup,
nterd
)
|
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