interval-internal | R Documentation |
Functions mostly called by ictest
. Not to be directly called by user.
icScoreTest(icFIT, group, scores, alternative = "two.sided", tol.svd = 10^-8)
icWSR(fit, group, scores, alternative, type, control)
wsrHLYpclt(A, p, x, group, alternative, nwsr, type, RHO)
wsrMC(A, p, x, group, alternative, nwsr, np, digits = 12)
scoresFromFit(icFIT, scores, dqfunc=NULL)
icfitBootCI(L,R,conf.level=.95,B=100,timeEpsilon=10^-8,seed=19439101,messages=TRUE,...)
icFIT |
icfit object from all the data |
group |
group vector, either numeric or character |
scores |
either 'logrank1', 'logrank2', or 'wmw' |
alternative |
either 'less','greater','two.sided', or 'two.sidedAbs' |
tol.svd |
small number, values less than that set to zero in svd |
fit |
icfit object from all the data |
type |
either 'wsr.pclt','wsr.HLY', or 'wsr.mc' |
control |
list passing options to function, see |
nwsr |
number of within subject resamples |
np |
number of permutation replications within each wsr |
digits |
for ties, treat values as tied when matched to this number of digits |
A |
A matrix from icfit object on all data |
p |
pf vector from icfit object on all data |
x |
vector of scores associated with each value of p |
dqfunc |
function, density of the results of the quantile function, e.g., function(x)dnorm(qnorm(x)) (used for 'general' scores,
see |
L |
left endpoints |
R |
right endpoints |
conf.level |
confidence level for two-sided confidence interval |
B |
number of bootstrap replications |
timeEpsilon |
small amount of time added or subtracted from times, for plotting confidence intervals |
seed |
numeric, if non-NULL then calls set.seed for bootstrap so it will be repeatable. |
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