Rev 65565 | Blame | Compare with Previous | Last modification | View Log | Download | RSS feed
/** R : A Computer Language for Statistical Data Analysis* Copyright (C) 2000--2014 The R Core Team** This program is free software; you can redistribute it and/or modify* it under the terms of the GNU General Public License as published by* the Free Software Foundation; either version 2 of the License, or* (at your option) any later version.** This program is distributed in the hope that it will be useful,* but WITHOUT ANY WARRANTY; without even the implied warranty of* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the* GNU General Public License for more details.** You should have received a copy of the GNU General Public License* along with this program; if not, a copy is available at* http://www.r-project.org/Licenses/*//* Utilities for `dpq' handling (density/probability/quantile) *//* give_log in "d"; log_p in "p" & "q" : */#define give_log log_p/* "DEFAULT" *//* --------- */#define R_D__0 (log_p ? ML_NEGINF : 0.) /* 0 */#define R_D__1 (log_p ? 0. : 1.) /* 1 */#define R_DT_0 (lower_tail ? R_D__0 : R_D__1) /* 0 */#define R_DT_1 (lower_tail ? R_D__1 : R_D__0) /* 1 */#define R_D_half (log_p ? -M_LN2 : 0.5) // 1/2 (lower- or upper tail)/* Use 0.5 - p + 0.5 to perhaps gain 1 bit of accuracy */#define R_D_Lval(p) (lower_tail ? (p) : (0.5 - (p) + 0.5)) /* p */#define R_D_Cval(p) (lower_tail ? (0.5 - (p) + 0.5) : (p)) /* 1 - p */#define R_D_val(x) (log_p ? log(x) : (x)) /* x in pF(x,..) */#define R_D_qIv(p) (log_p ? exp(p) : (p)) /* p in qF(p,..) */#define R_D_exp(x) (log_p ? (x) : exp(x)) /* exp(x) */#define R_D_log(p) (log_p ? (p) : log(p)) /* log(p) */#define R_D_Clog(p) (log_p ? log1p(-(p)) : (0.5 - (p) + 0.5)) /* [log](1-p) */// log(1 - exp(x)) in more stable form than log1p(- R_D_qIv(x)) :#define R_Log1_Exp(x) ((x) > -M_LN2 ? log(-expm1(x)) : log1p(-exp(x)))/* log(1-exp(x)): R_D_LExp(x) == (log1p(- R_D_qIv(x))) but even more stable:*/#define R_D_LExp(x) (log_p ? R_Log1_Exp(x) : log1p(-x))#define R_DT_val(x) (lower_tail ? R_D_val(x) : R_D_Clog(x))#define R_DT_Cval(x) (lower_tail ? R_D_Clog(x) : R_D_val(x))/*#define R_DT_qIv(p) R_D_Lval(R_D_qIv(p)) * p in qF ! */#define R_DT_qIv(p) (log_p ? (lower_tail ? exp(p) : - expm1(p)) \: R_D_Lval(p))/*#define R_DT_CIv(p) R_D_Cval(R_D_qIv(p)) * 1 - p in qF */#define R_DT_CIv(p) (log_p ? (lower_tail ? -expm1(p) : exp(p)) \: R_D_Cval(p))#define R_DT_exp(x) R_D_exp(R_D_Lval(x)) /* exp(x) */#define R_DT_Cexp(x) R_D_exp(R_D_Cval(x)) /* exp(1 - x) */#define R_DT_log(p) (lower_tail? R_D_log(p) : R_D_LExp(p))/* log(p) in qF */#define R_DT_Clog(p) (lower_tail? R_D_LExp(p): R_D_log(p))/* log(1-p) in qF*/#define R_DT_Log(p) (lower_tail? (p) : R_Log1_Exp(p))// == R_DT_log when we already "know" log_p == TRUE#define R_Q_P01_check(p) \if ((log_p && p > 0) || \(!log_p && (p < 0 || p > 1)) ) \ML_ERR_return_NAN/* Do the boundaries exactly for q*() functions :* Often _LEFT_ = ML_NEGINF , and very often _RIGHT_ = ML_POSINF;** R_Q_P01_boundaries(p, _LEFT_, _RIGHT_) :<==>** R_Q_P01_check(p);* if (p == R_DT_0) return _LEFT_ ;* if (p == R_DT_1) return _RIGHT_;** the following implementation should be more efficient (less tests):*/#define R_Q_P01_boundaries(p, _LEFT_, _RIGHT_) \if (log_p) { \if(p > 0) \ML_ERR_return_NAN; \if(p == 0) /* upper bound*/ \return lower_tail ? _RIGHT_ : _LEFT_; \if(p == ML_NEGINF) \return lower_tail ? _LEFT_ : _RIGHT_; \} \else { /* !log_p */ \if(p < 0 || p > 1) \ML_ERR_return_NAN; \if(p == 0) \return lower_tail ? _LEFT_ : _RIGHT_; \if(p == 1) \return lower_tail ? _RIGHT_ : _LEFT_; \}#define R_P_bounds_01(x, x_min, x_max) \if(x <= x_min) return R_DT_0; \if(x >= x_max) return R_DT_1/* is typically not quite optimal for (-Inf,Inf) where* you'd rather have */#define R_P_bounds_Inf_01(x) \if(!R_FINITE(x)) { \if (x > 0) return R_DT_1; \/* x < 0 */return R_DT_0; \}/* additions for density functions (C.Loader) */#define R_D_fexp(f,x) (give_log ? -0.5*log(f)+(x) : exp(x)/sqrt(f))/* [neg]ative or [non int]eger : */#define R_D_negInonint(x) (x < 0. || R_nonint(x))// for discrete d<distr>(x, ...) :#define R_D_nonint_check(x) \if(R_nonint(x)) { \MATHLIB_WARNING("non-integer x = %f", x); \return R_D__0; \}