
upper
.m2df(object, upper, ...)
## S3 method for class 'AbscontDistribution':
m2df(object, upper,
lowerTruncQuantile = getdistrExOption("m2dfLowerTruncQuantile"),
rel.tol = getdistrExOption("m2dfRelativeTolerance"), ...)
"Distribution"
distrExIntegrate
.E
object
clipped at upper
is computed.distrExOptions
.m2df-methods
, E-methods
# standard normal distribution
N1 <- Norm()
m2df(N1, 0)
# Poisson distribution
P1 <- Pois(lambda=2)
m2df(P1, 3)
m2df(P1, 3, fun = function(x)sin(x))
# absolutely continuous distribution
D1 <- Norm() + Exp() # convolution
m2df(D1, 2)
m2df(D1, Inf)
E(D1, function(x){x^2})
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