ANOVA is used to test whether there is a significant difference between the means of groups.
The sample size which adoptr
returns is the group wise sample size.
The function get_tau_ANOVA
is used to obtain a parameter \(\tau\),
which is used in the same way as \(\theta\) to describe the difference of
means between the groups.
See also
see probability_density_function
and
cumulative_distribution_function
to evaluate the pdf
and the cdf, respectively. Use NestedModels
to get insights
in the implementation of ANOVA
.
Examples
model <- ANOVA(3L)
H1 <- PointMassPrior(get_tau_ANOVA(c(0.4, 0.8, 0.5)), 1)