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Update code style
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lib/node_modules/@stdlib/stats/base/dists/truncated-normal/pdf/README.md

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@@ -128,7 +128,7 @@ var i;
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for ( i = 0; i < 25; i++ ) {
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a = ( randu() * 80.0 ) - 40.0;
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b = a + (randu() * 80.0);
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b = a + ( randu() * 80.0 );
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x = ( randu() * 40.0 ) + a;
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mu = ( randu() * 20.0 ) - 10.0;
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sigma = ( randu() * 10.0 ) + 2.0;

lib/node_modules/@stdlib/stats/base/dists/truncated-normal/pdf/docs/types/index.d.ts

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@@ -31,7 +31,7 @@ type Unary = ( x: number ) => number;
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*/
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interface PDF {
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/**
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* Evaluates the probability density function (PDF) for a truncated normal distribution with endpoints `a` and `b`, location parameter `mu` and scale parameter `sigma` at a value `x`.
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* Evaluates the probability density function (PDF) for a truncated normal distribution with endpoints `a` and `b`, location parameter `mu`, and scale parameter `sigma` at a value `x`.
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*
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* @param x - input value
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* @param a - minimum support
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( x: number, a: number, b: number, mu: number, sigma: number ): number;
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/**
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* Returns a function for evaluating the probability density function (PDF) for a truncated normal distribution with endpoints `a` and `b`, mean `mu` and standard deviation `sigma`.
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* Returns a function for evaluating the probability density function (PDF) for a truncated normal distribution with endpoints `a` and `b`, mean `mu`, and standard deviation `sigma`.
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*
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* @param a - minimum support
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* @param b - maximum support

lib/node_modules/@stdlib/stats/base/dists/truncated-normal/pdf/examples/index.js

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@@ -31,7 +31,7 @@ var i;
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for ( i = 0; i < 25; i++ ) {
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a = ( randu() * 80.0 ) - 40.0;
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b = a + (randu() * 80.0);
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b = a + ( randu() * 80.0 );
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x = ( randu() * 40.0 ) + a;
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mu = ( randu() * 20.0 ) - 10.0;
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sigma = ( randu() * 10.0 ) + 2.0;

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