drectnorm | R Documentation |
Density, cumulative distribution, quantile functions and random number generation for the Rectified Normal distribution.
drectnorm(q, mu = 0, sigma = 1, log = FALSE)
prectnorm(q, mu = 0, sigma = 1)
qrectnorm(p, mu = 0, sigma = 1)
rrectnorm(n = 1, mu = 0, sigma = 1)
q |
vector of quantiles. |
mu |
vector of location parameters (means). |
sigma |
vector of scale parameters. |
log |
if |
p |
vector of probabilities. |
n |
number of observations. Should be a single number. |
If x~N(mu, sigma^2) then y = max(0, x) follows Rectified Normal distribution: y~RectN(mu, sigma^2), which can be written as:
f_y = 1(x<=0) F_x(mu, sigma) + 1(x>0) f_x(x, mu, sigma),
where F_x is the cumulative distribution function and f_x is the probability density function of normal distribution.
Both prectnorm
and qrectnorm
are returned for the lower
tail of the distribution.
All the functions are defined for non-negative values only.
Depending on the function, various things are returned (usually either vector or scalar):
drectnorm
returns the density function value for the
provided parameters.
prectnorm
returns the value of the cumulative function
for the provided parameters.
qrectnorm
returns quantiles of the distribution. Depending
on what was provided in p
, mu
and sigma
, this
can be either a vector or a matrix, or an array.
rrectnorm
returns a vector of random variables
generated from the RectN distribution. Depending on what was
provided in mu
and sigma
, this can be either a vector
or a matrix or an array.
Ivan Svetunkov, ivan@svetunkov.com
Distributions
x <- drectnorm(c(-1000:1000)/200, 0, 1)
plot(c(-1000:1000)/200, x, type="l")
x <- prectnorm(c(-1000:1000)/200, 0, 1)
plot(c(-1000:1000)/200, x, type="l")
qrectnorm(c(0.025,0.975), 0, c(1,2))
x <- rrectnorm(1000, 0, 1)
hist(x)
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