Usage
.inGaps(x,gapm)
.isReplicated(x)
.NotInSupport(x,D)
.SingleDiscrete(x,D)
.makeLenAndOrder(x,ord)
.BinomCI.in(t,p.bi,x.i, del.i=0,D.i,n.i,alpha.i)
.BinomCI(x,p.b,D,n,alpha)
.BinomCI.nosym(x,p.b,D,n,alpha)
.q2kolmogorov(alpha,n,exact=(n
Arguments
gapm
matrix; the gap matrix as in slot gaps
of
an "AbscontDistribution"
or "UnivarLebDecDistribution"
object.
D
object of class "UnivariateDistribution"
ord
integer; the result of a call to order
alpha
numeric in [0,1]; confidence level
exact
logical; shall finite sample version be used?
t
current (half of the) width of the confidence interval.
p.bi
(local) (binomial) c.d.f. value at x.i
.
del.i
numeric; a (local) asymmetry parameter to pass on to
optim
and uniroot
--- the endpoints of the searched interval
are x.i+t/sqrt(n)+del.i/sqrt(n)
and x.i-t/sqrt(n)+del.i/sqrt(n)
.
D.i
object of class "UnivariateDistribution"
n.i
integer; (local) sample size
alpha.i
numeric in [0,1]; (local) confidence level
p.b
(binomial) c.d.f. value at x
.
nosym
logical; shall we compute shortest (asymmetric) confidence intervals;
withConf.pw
logical; shall pointwise confidence lines be plotted?
withConf.sim
logical; shall simultaneous confidence lines be plotted?
exact.pCI
logical; shall pointwise CIs be determined with exact Binomial distribution?
exact.sCI
logical; shall simultaneous CIs be determined with exact kolmogorov distribution?
nosym.pCI
logical; shall we use (shortest) asymmetric CIs?
col.pCI
color for the pointwise CI
lty.pCI
line type for the pointwise CI
lwd.pCI
line width for the pointwise CI
pch.pCI
symbol for points (for discrete mass points) in pointwise CI
cex.pCI
magnification factor for points (for discrete mass points) in pointwise CI
col.sCI
color for the simultaneous CI
lty.sCI
line type for the simultaneous CI
lwd.sCI
line width for the simultaneous CI
pch.sCI
symbol for points (for discrete mass points) in simultaneous CI
cex.sCI
magnification factor for points (for discrete mass points) in simultaneous CI
with.legend
logical; shall a legend be plotted?
legend.bg
background color for the legend
legend.pos
position for the legend
legend.cex
magnification factor for the legend
mcl
arguments in call as a list