univTruncNormMLE: Compute the univariate conditional MLE for truncated normal...
In ammeir2/selectiveTweedy:
View source: R/parametricExampleOptim.R
Description
Compute the univariate conditional MLE for truncated normal data
Usage
1
univTruncNormMLE(x, threshold, xsd = 1)
Arguments
x
the observed truncated normal samples
threshold
the selection threshold for the selection rule
x < threshold[1] or x > threshold[2]. If a scalar is provided,
then threshold is set to c(-abs(threshold), abs(threshold)).
xsd
the standard deviation of the normal observations
ammeir2/selectiveTweedy documentation built on May 24, 2019, 3:02 a.m.
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View source: R/parametricExampleOptim.R
Description
Compute the univariate conditional MLE for truncated normal data
Usage
1 | univTruncNormMLE(x, threshold, xsd = 1)
|
Arguments
x |
the observed truncated normal samples |
threshold |
the selection threshold for the selection rule
|
xsd |
the standard deviation of the normal observations |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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