Code Monkey home page Code Monkey logo

ipfp_3way_sizetypeage's Introduction

IPFP_3way_sizeTypeAge

This repository includes .R scripts which use Iterative proportional fitting Prodedure (IPFP) to estimate the joint distribution of population data based on marginal distributions. this analysis uses PUMS data as seed values in TAZs. This analysis is done as a part of population projection on 2050 in MAPC. IPFP analysis is done in collaboration with Sarah Philbrick and Steve Gehrke in reseasrch team of Data services department of MAPC.

R Files

HouseholdsbyType_AgeShare_Statewide.R

Data preparation and generating HH bytype age size shares

IPFP_HHtypeSize.R

IPFP analysis (https://en.wikipedia.org/wiki/Iterative_proportional_fitting)

cross_class_ratio.R

post-processing of the results

ipfp_3way_sizetypeage's People

Contributors

pariyapm avatar

Stargazers

 avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.