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ppnd <- function(P){
## PPND produces the normal deviate value corresponding to lower tail area = P.
#
# Licensing:
#
# This code is distributed under the GNU LGPL license.
#
# Modified:
#
# 7 November 2017
#
# Author:
#
# Original FORTRAN77 version by J Beasley, S Springer.
# R version by David Navarro-Gonzalez.
#
# Reference:
#
# J Beasley, S Springer,
# Algorithm AS 111:
# The Percentage Points of the Normal Distribution,
# Applied Statistics,
# Volume 26, Number 1, 1977, pages 118-121.
#
# Parameters:
#
# Input, real P, the value of the cumulative probability
# densitity function. 0 < P < 1.
#
# Output, real VALUE, the normal deviate value with the property that
# the probability of a standard normal deviate being less than or
# equal to PPND is P.
SPLIT=0.42
A0 = 2.50662823884
A1 =-18.61500062529
A2 = 41.39119773534
A3 =-25.44106049637
B1 = -8.47351093090
B2 = 23.08336743743
B3 =-21.06224101826
B4 = 3.13082909833
C0 = -2.78718931138
C1 = -2.29796479134
C2 = 4.85014127135
C3 = 2.32121276858
D1 = 3.54388924762
D2 = 1.63706781897
ZERO = 0.0
ONE = 1.0
HALF = 0.5
IER = 0
Q = P-HALF
if (abs(Q) <= SPLIT){
R <- Q*Q
PPND <- Q*(((A3*R + A2)*R +A1)*R + A0)/((((B4*R + B3)*R + B2)*R +B1)*R+ ONE)
return(PPND)
}
R <- P
if (Q > ZERO){
R <- ONE-P
}
if (R > ZERO){
R <- sqrt(-log(R))
PPND <- (((C3*R + C2)*R + C1)*R + C0)/((D2*R + D1)*R + ONE)
if (Q < ZERO){
PPND <- -PPND
}
return(PPND)
}
PPND = ZERO
return(PPND)
}
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