ZSquared-class {adoptr} | R Documentation |
Distribution class of a squared normal distribution
Description
Implementation of Z^2
, where Z
is normally distributed with mean
\mu
and variance \sigma^2
. Z^2
is chi-squared distributed
with 1
degree of freedom and non-centrality parameter (\mu/\sigma)^2
.
The function get_tau_ZSquared
computes the factor \tau=(\mu/\sigma)^2
,
such that \tau
is the equivalent of \theta
in the normally
distributed case. The square of a normal distribution Z^2
can be used
for two-sided hypothesis testing.
Usage
ZSquared(two_armed = TRUE)
get_tau_ZSquared(mu, sigma)
Arguments
two_armed |
logical indicating if a two-armed trial is regarded |
mu |
mean of Z |
sigma |
standard deviation of Z |
Examples
zsquared <- ZSquared(FALSE)
H1 <- PointMassPrior(get_tau_ZSquared(0.4, 1), 1)
[Package adoptr version 1.1.1 Index]