longfloat library HP PRIME

[robmio]

Hello everyone, after reading the following article: “Distribution of the largest root of a matrix for Roy’s test in multivariate analysis of variance”, written by Marco Chiani in the “Journal of Multivariate Analysis 143 (2016) 467–471”, I translated the algorithm on page 469 for HP PRIME, to obtain the “p” level of significance used in the multivariate analysis of variance according to Roy.
The algorithm works well on the HP PRIME, but, if I use high input values, the calculation becomes cumbersome, and the results may be wrong or undefined. The algorithm uses the incomplete Beta function and the Gamma function.
The results could be correct even with high input values if the HP PRIME possessed the “long-float library” of Giac-xCas.
I have read some “posts” on this topic, but I ask you this question again: will the HP PRIME be provided with the Giac-XCas “log-float library” in the future? Is it legitimate to hope?
Sincerely, Roberto Mioni