Description Usage Arguments Details Value Author(s) See Also
Compute the moments of truncated normal distribution and the integral that appears in the noncentral t-distribution
1 2 3 4 5 | mTruncNorm(r = 1, mu = 0, sd = 1, lower = -Inf, upper = Inf,
approximation = c("int2", "laplace", "numerical"),
integral.only = FALSE, ...)
mTruncNorm.int2(r = as.integer(1), mu = 0, sd = 1, lower = -Inf,
upper = Inf, takeLog = TRUE, ndiv = 8)
|
r |
the order of moments to be computed. It could be noninteger, but has to be nonnegative. This is also the degrees of freedom for the noncentral t-distribution. |
mu |
mean of the normal distribution, before truncating. |
sd |
SD of the normal distribution, before truncating. |
lower |
lower truncation point |
upper |
upper truncation point |
approximation |
Method of approximation. |
integral.only |
logical. If |
takeLog |
logical. If |
ndiv |
number of points with closes integer |
... |
other arguments passed to |
mTruncNorm.int2
uses iterative relation over r
to compute the integral iteratively starting from r=0
and r=1
whose analytic results are available.
If r
is not an integer, the nearest ndiv
nonnegative integer r
will be used to do divided difference polynomial interpolation.
numeric vector. If integral.only
is TRUE
, this is the integral in the noncentral t-density; otherwise this is the rth moments of truncated normal distribution.
Long Qu
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