naniar - Data Structures, Summaries, and Visualisations for Missing Data

Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data. The work is fully discussed at Tierney & Cook (2023) <doi:10.18637/jss.v105.i07>.

Last updated 7 months ago

data-visualisationggplot2missing-datamissingnesstidy-data

15.14 score 652 stars 6 packages 5.1k scripts 23k downloads

visdat - Preliminary Visualisation of Data

Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.

Last updated 3 months ago

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

12.73 score 450 stars 8 packages 1.7k scripts 20k downloads

visdat - Preliminary Visualisation of Data

Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.

Last updated 3 months ago

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

12.73 score 450 stars 8 packages 1.7k scripts 20k downloads

greta - Simple and Scalable Statistical Modelling in R

Write statistical models in R and fit them by MCMC and optimisation on CPUs and GPUs, using Google 'TensorFlow'. greta lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the greta forum.

Last updated 7 days ago

12.14 score 527 stars 5 packages 326 scripts 372 downloads

brolgar - Browse Over Longitudinal Data Graphically and Analytically in R

Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the 'tsibble' package, and is designed to integrate within the 'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) <doi:10.32614/RJ-2022-023>.

Last updated 6 months ago

8.38 score 108 stars 128 scripts 815 downloads

conmat - Builds contact matrices using GAMs and population data

Builds contact matrices using GAMs and population data. This package incorporates data that is copyright Commonwealth of Australia (Australian Electoral Commission and Australian Bureau of Statistics) 2020.

Last updated 2 months ago

contact-matricesinfectious-diseasespopulation-datapublic-health

6.87 score 17 stars 44 scripts

syn - Creates Synonyms From Target Words

Generates synonyms from a given word drawing from a synonym list from the 'moby' project <http://moby-thesaurus.org/>.

Last updated 10 months ago

antonymsozunconf18synonymstext-processingthesaurusunconf

6.66 score 51 stars 2 packages 30 scripts 232 downloads

greta.gp - Gaussian Process Modelling in 'greta'

Provides a syntax to create and combine Gaussian process kernels in 'greta'. You can then them to define either full rank or sparse Gaussian processes. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.

Last updated 9 months ago

6.33 score 19 stars 28 scripts 217 downloads

geotargets - 'Targets' Extensions for Geospatial Formats

Provides extensions for various geospatial file formats, such as shapefiles and rasters. Currently provides support for the 'terra' geospatial formats. See the vignettes for worked examples, demonstrations, and explanations of how to use the various package extensions.

Last updated 1 days ago

geospatialpipeliner-targetopiarasterreproducibilityreproducible-researchtargetsvectorworkflow

5.75 score 54 stars 33 scripts

greta.dynamics - Modelling Structured Dynamical Systems in 'greta'

A 'greta' extension for analysing transition matrices and ordinary differential equations representing dynamical systems. Provides functions for analysing transition matrices by iteration, and solving ordinary differential equations. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.

Last updated 6 months ago

5.72 score 6 stars 11 scripts 167 downloads

maxcovr - A Set of Tools For Solving The Maximal Covering Location Problem

Solving the "maximal covering location problem" as described by Church can be difficult for users not familiar with linear programming. maxcovr provides functions to make it easy to solve this problem, and tools to calculate facility coverage.

Last updated 5 years ago

distancelinear-programming

5.46 score 42 stars 46 scripts

mmcc - tidy mcmc.list using data.table

Tidy up, diagnose, and visualise your mcmc samples quickly and easily so you can get on with your analysis.

Last updated 3 years ago

4.68 score 24 stars 10 scripts

ozroaddeaths - Pulls Data From Australian Road Deaths Database

ozroaddeaths is a package that pulls data from the Australian Road Deaths Database, run by the Bureau of Infrastructure, Transport and Regional Economics (BITRE). This provides basic details of road transport crash fatalities in Australia as reported by the police each month to the State and Territory road safety authorities. The details provided in the database fall into two groups: 1) the circumstances of the crash, for example, date, location, crash type some details regarding the persons killed, for example, age, gender and road user group.

Last updated 6 hours ago

ozunconf17unconf

4.26 score 6 stars 7 scripts

broomstick - Convert Decision Tree Objects into Tidy Data Frames

Convert Decision Tree objects into tidy data frames, by using the framework laid out by the package broom, this means that decision tree output can be easily reshaped, porocessed, and combined with tools like 'dplyr', 'tidyr' and 'ggplot2'. Like the package broom, broomstick provides three S3 generics: tidy, to summarise decision tree specific features - tidy returns the variable importance table; augment adds columns to the original data such as predictions and residuals; and glance, which provides a one-row summary of model-level statistics.

Last updated 11 months ago

broomdecision-treesgbmmachine-learningrandomforestrpartstatistical-learning

3.53 score 28 stars 24 scripts

yahtsee - Yet Another Hierachical Time Series Extension and Expansion

An opinionated approach to building hierarchical time series models in R using INLA and inlabru.

Last updated 3 years ago

3.00 score 2 stars 8 scripts

chaletex - Extract LaTeX packages from TeX files and Install Them

Trying to compile LaTeX files can be frustrating when you need to stop at every attempted compile and install the missing packages. The goal of chaletex is to make it easy to extract packages you need to install from LaTeX. It is named `chaletex` as we want this to be like walking into a Chalet after a big day - a nice, friendly, cozy place for your TeX problems.

Last updated 5 years ago

2.54 score 7 stars 2 scripts

greta.distributions - Extends Distributions Available in the 'greta' Package

Provides extra distributions for use with the 'greta' package. These will include distributions such as zero inflated negative binomial, zero inflated poisson, interval censored lognormal, and more.

Last updated 2 years ago

2.00 score 1 stars 1 scripts