Reparameterized.normal | R Documentation |
Reparameterized normal functions
dnorm.rp(x, mean = 0, tau = 1, log = FALSE) pnorm.rp(q, mean = 0, tau = 1, lower.tail = TRUE, log.p = FALSE) qnorm.rp(p, mean = 0, tau = 1, lower.tail = TRUE, log.p = FALSE) rnorm.rp(n, mean = 0, tau = 1)
x |
likelihood function evaluates at point x |
mean |
mean |
tau |
precision parameter |
log |
logical; if TRUE, probabilities p are given as log(p) |
q |
quantile |
lower.tail |
logical; if TRUE (default), probabilities are P(X < x) otherwise, P(X>x). |
log.p |
logical; if TRUE, probabilities p are given as log(p) |
p |
cumulative probability |
n |
number of observations. If length(n) > 1, the length is taken to be the number required. |
Returns density values, cumulative probabilities, quantiles and random samples from a normal distribution.
dnorm.rp(x=0) pnorm.rp(q=.1) qnorm.rp(p=.975) rnorm.rp(10)
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