The mixtree
package provides a statistical framework for comparing sets of trees.
Quick start
library(mixtree)
# Simulate two chains of transmission trees
chainA <- lapply(1:100, function(i) {
make_tree(20, R = 2, stochastic = TRUE) |>
igraph::as_long_data_frame()
})
chainB <- lapply(1:100, function(i) {
make_tree(20, R = 4, stochastic = TRUE) |>
igraph::as_long_data_frame()
})
# Compare the two chains
result <- tree_test(chainA, chainB)
print(result)
#> Permutation test for adonis under reduced model
#> Permutation: free
#> Number of permutations: 999
#>
#> (function (formula, data, permutations = 999, method = "bray", sqrt.dist = FALSE, add = FALSE, by = NULL, parallel = getOption("mc.cores"), na.action = na.fail, strata = NULL, ...)
#> Df SumOfSqs R2 F Pr(>F)
#> Model 1 6730 0.13248 30.236 0.001 ***
#> Residual 198 44071 0.86752
#> Total 199 50801 1.00000
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1