prob-dot-distr-dot-norm: Normal distribution function for 'random.bn.fit'
In ddgraph: Distinguish direct and indirect interactions with Graphical Modelling
Description
Usage
Arguments
Value
Examples
Description
Generate 2^n numbers from distribution with most of the pdf mass in extreme probabilities (mirrored normal).
We use standard deviation of 1/3 and modulo-1 of normal distribution.
Usage
1
prob.distr.norm(n, sd=1/3)
Arguments
n
number of variables
sd
the standard deviation of distribution
Value
vector of 2^n random numbers
Examples
1
2
# return 8 random numbers since n=3
prob.distr.norm(3)
ddgraph documentation built on Nov. 17, 2017, 10:50 a.m.
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Description Usage Arguments Value Examples
Description
Generate 2^n numbers from distribution with most of the pdf mass in extreme probabilities (mirrored normal). We use standard deviation of 1/3 and modulo-1 of normal distribution.
Usage
1 | prob.distr.norm(n, sd=1/3)
|
Arguments
n |
number of variables |
sd |
the standard deviation of distribution |
Value
vector of 2^n random numbers
Examples
1 2 | # return 8 random numbers since n=3
prob.distr.norm(3)
|
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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