The vector is renormalised on entry, so a pmf that sums to 0.999
through rounding does not silently shift the entropy and a caller who
passes counts gets the answer they meant.
Arguments
- p
Non-negative weights, renormalised to sum to one.
- q
Entropic index; q = 1 gives Shannon entropy in nats.
Value
List with estimate, k, q.
Details
Formula: S_q = (1 - sum_i p_i^q) / (q - 1).
References
Tsallis, C. (1988). J Stat Phys 52:479-487, equation (1).
Examples
Tsalls(p = 0.5, q = 0.5)
#> $estimate
#> [1] 0
#>
#> $k
#> [1] 1
#>
#> $q
#> [1] 0.5
#>
#> $method
#> [1] "Tsallis q-entropy of a supplied pmf"
#>
#> attr(,"class")
#> [1] "morie_rich_result" "list"
