Other packages > Find by keyword >

healthyAddress  

Convert Addresses to Standard Inputs
View on CRAN: Click here


Download and install healthyAddress package within the R console
Install from CRAN:
install.packages("healthyAddress")

Install from Github:
library("remotes")
install_github("cran/healthyAddress")

Install by package version:
library("remotes")
install_version("healthyAddress", "0.4.3")



Attach the package and use:
library("healthyAddress")
Maintained by
Hugh Parsonage
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-07
Latest Update: 2024-02-07
Description:
Efficient tools for parsing and standardizing Australian addresses from textual data. It utilizes optimized algorithms to accurately identify and extract components of addresses, such as street names, types, and postcodes, especially for large batched data in contexts where sending addresses to internet services may be slow or inappropriate. The core functionality is built on fast string processing techniques to handle variations in address formats and abbreviations commonly found in Australian address data. Designed for data scientists, urban planners, and logistics analysts, the package facilitates the cleaning and normalization of address information, supporting better data integration and analysis in urban studies, geography, and related fields.
How to cite:
Hugh Parsonage (2024). healthyAddress: Convert Addresses to Standard Inputs. R package version 0.4.3, https://cran.r-project.org/web/packages/healthyAddress. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2024-02-07 18:50), 0.4.1 (2024-04-28 01:40), 0.4.2 (2024-05-02 01:34)
Other packages that cited healthyAddress R package
View healthyAddress citation profile
Other R packages that healthyAddress depends, imports, suggests or enhances
Complete documentation for healthyAddress
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA