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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.

Usage

ANOVA(n_groups)

get_tau_ANOVA(means, common_sd = 1)

Arguments

n_groups

number of groups to be compared

means

vector denoting the mean per group

common_sd

standard deviation of 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)