normal-cdf | Normal distribution cumulative distribution function

 by   distributions-io JavaScript Version: Current License: MIT

kandi X-RAY | normal-cdf Summary

kandi X-RAY | normal-cdf Summary

normal-cdf is a JavaScript library typically used in Programming Style applications. normal-cdf has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i distributions-normal-cdf' or download it from GitHub, npm.

Cumulative Distribution Function === [NPM version][npm-image]][npm-url] [Build Status][travis-image]][travis-url] [Coverage Status][codecov-image]][codecov-url] [Dependencies][dependencies-image]][dependencies-url]. The [cumulative distribution function] for a [normal] random variable is. . where mu is the mean and sigma > 0 is the standard deviation.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              normal-cdf has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              normal-cdf has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of normal-cdf is current.

            kandi-Quality Quality

              normal-cdf has 0 bugs and 0 code smells.

            kandi-Security Security

              normal-cdf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              normal-cdf code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              normal-cdf is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              normal-cdf releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed normal-cdf and discovered the below as its top functions. This is intended to give you an instant insight into normal-cdf implemented functionality, and help decide if they suit your requirements.
            • Ensures the covariance of the given parameters .
            • Computes the PDF of a vector
            • Returns the PDF of the given distribution .
            • Calculates the value of a quad
            Get all kandi verified functions for this library.

            normal-cdf Key Features

            No Key Features are available at this moment for normal-cdf.

            normal-cdf Examples and Code Snippets

            No Code Snippets are available at this moment for normal-cdf.

            Community Discussions

            QUESTION

            Error somewhere in my RNG for Monte-Carlo Simulation?
            Asked 2019-Sep-07 at 19:23

            So, for a Monte-Carlo class, I created a uniform random number generator to simulate a normal distribution and use it for MC option pricing, and I'm going terribly wrong somewhere. It uses a simple linear congruential generator (lcg) which generates a random vector that is fed into an numerical approximation of a inverse normal distribution (beasley-springer-morrow algorithm) to generate standard normally distributed values (elaboration on the exact process can be found here).

            This is my code so far.

            Rng:

            ...

            ANSWER

            Answered 2018-Feb-14 at 02:16

            QUESTION

            Numerically Solving equations with Standard Normal CDF and PDF (Optimization) using R
            Asked 2018-Mar-15 at 00:27

            How do we go about numerically solving equations of the sort below using R?

            Please note, this can be shown to be convex and there is a separate thread on this. https://stats.stackexchange.com/questions/158042/convexity-of-function-of-pdf-and-cdf-of-standard-normal-random-variable

            This question has been posted on the Mathematics Forum to get Closed Form or other Theoretical Approaches, but it seems numerically solutions are the way to go? https://math.stackexchange.com/questions/2689251/solving-equations-with-standard-normal-cdf-and-pdf-optimization

            ...

            ANSWER

            Answered 2018-Mar-14 at 11:28

            You can use the build in optimize function to directly optimize the original function:

            Source https://stackoverflow.com/questions/49268531

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install normal-cdf

            For use in the browser, use [browserify](https://github.com/substack/node-browserify).

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/distributions-io/normal-cdf.git

          • CLI

            gh repo clone distributions-io/normal-cdf

          • sshUrl

            git@github.com:distributions-io/normal-cdf.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular JavaScript Libraries

            freeCodeCamp

            by freeCodeCamp

            vue

            by vuejs

            react

            by facebook

            bootstrap

            by twbs

            Try Top Libraries by distributions-io

            distributions.io

            by distributions-ioJavaScript

            uniform

            by distributions-ioJavaScript

            normal-random

            by distributions-ioJavaScript

            lognormal

            by distributions-ioJavaScript

            pareto

            by distributions-ioJavaScript