rtnorm: Random Generation from a Truncated Normal Distribution
In MCMCglmm: MCMC Generalised Linear Mixed Models
rtnorm R Documentation
Random Generation from a Truncated Normal Distribution
Description
Samples from the Truncated Normal Distribution
Usage
rtnorm(n = 1, mean = 0, sd = 1, lower = -Inf, upper = Inf)
Arguments
n
integer: number of samples to be drawn
mean
vector of means
sd
vector of standard deviations
lower
left truncation point
upper
right truncation point
Value
vector
Author(s)
Jarrod Hadfield j.hadfield@ed.ac.uk
References
Robert, C.P. (1995) Statistics & Computing 5 121-125
See Also
rtnorm
Examples
hist(rtnorm(100, lower=-1, upper=1))
MCMCglmm documentation built on July 9, 2023, 5:24 p.m.
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| rtnorm | R Documentation |
Random Generation from a Truncated Normal Distribution
Description
Samples from the Truncated Normal Distribution
Usage
rtnorm(n = 1, mean = 0, sd = 1, lower = -Inf, upper = Inf)
Arguments
n |
integer: number of samples to be drawn |
mean |
vector of means |
sd |
vector of standard deviations |
lower |
left truncation point |
upper |
right truncation point |
Value
vector
Author(s)
Jarrod Hadfield j.hadfield@ed.ac.uk
References
Robert, C.P. (1995) Statistics & Computing 5 121-125
See Also
rtnorm
Examples
hist(rtnorm(100, lower=-1, upper=1))
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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