    1:- module(rint, [interval/2, interval/3, op(150, xfx, ...), op(800, xfx, <-)]).    2
    3:- multifile r_hook/1.    4:- multifile r_hook/2.    5:- multifile int_hook/4.    6:- multifile eval_hook/2.    7:- multifile mono/2.    8:- multifile interval_/3.    9:- multifile instantiate/2.   10
   11:- set_prolog_flag(float_overflow, infinity).   12:- set_prolog_flag(float_undefined, nan).   13:- set_prolog_flag(float_zero_div, infinity).   14
   15:- nb_setval(digits, 2).   16
   17:- consult([lib/interface, lib/core, lib/op, lib/rint_op]).

Use intervals in R functions.

This module expands the 'interval' module with R functions. For general information on the use of interval/2, please refer to that module. /

   26% Binomial distribution
   27% - Cumulated density lower-tail: interval(pbinom(X, N, P, true), Res)
   28% - Cumulated density upper-tail: interval(pbinom(X, N, P, false), Res)
   29% - Quantile: interval(qbinom(Alpha, N, P, true), Res)
   30% - Density: interval(dbinom(X, N, P), Res)
   31%
   32% Normal distribution
   33% - Cumulated density: interval(pnorm(X, Mu, Sigma), Res)
   34% - Quantile: interval(qnorm(P, Mu, Sigma), Res)
   35% - Density: interval(dnorm(X, Mu, Sigma), Res)
   36%
   37% T distribution
   38% - Cumulated density lower-tail: interval(pt(X, Df, true), Res)
   39% - Cumulated density upper-tail: interval(pt(X, Df, false), Res)
   40% - Quantile: interval(qt(P, Df), Res)
   41% - Density: interval(dt(X, Df), Res)