truncated_normal_rule, a Python code which computes a quadrature rule for a normal probability density function (PDF), sometimes called a Gaussian distribution, that has been truncated to [A,+oo), (-oo,B] or [A,B].
The computer code and data files made available on this web page are distributed under the MIT license
truncated_normal_rule is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
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truncated_normal, a Python code which works with the truncated normal distribution over [A,B], or [A,+oo) or (-oo,B], returning the probability density function (PDF), the cumulative density function (CDF), the inverse CDF, the mean, the variance, and sample values.
OPTION0_TEST is a test included within the text of truncated_normal_rule.py which computes a quadrature rule for the normal distribution, n = 5, mu = 1.0, sigma = 2.0;
OPTION1_TEST is a test included within the text of truncated_normal_rule.py which computes a quadrature rule for the lower truncated normal distribution, n = 9, mu = 2.0, sigma = 0.5, a = 0.0;
OPTION2_TEST is a test included within the text of truncated_normal_rule.py which computes a quadrature rule for the upper truncated normal distribution, n = 9, mu = 2.0, sigma = 0.5, b = 3.0;
OPTION3_TEST is a test included within the text of truncated_normal_rule.py which computes a quadrature rule for the doubly truncated normal distribution, n = 5, mu = 100.0, sigma = 25.0, a = 50.0, b = 100.0;