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 6 months ago

data-visualisationggplot2missing-datamissingnesstidy-data

649 stars 8.24 score 54 dependencies 6 dependents

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 17 days ago

524 stars 7.61 score 45 dependencies 5 dependents

visdat - Preliminary Visualisation of Data

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

Last updated 2 months ago

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

450 stars 7.34 score 47 dependencies 8 dependents

visdat - Preliminary Visualisation of Data

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

Last updated 2 months ago

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

450 stars 7.28 score 47 dependencies 8 dependents

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 4 months ago

108 stars 4.34 score 50 dependencies

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 8 months ago

antonymsozunconf18synonymstext-processingthesaurusunconf

51 stars 3.65 score 0 dependencies 2 dependents

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 3 days ago

geospatialpipeliner-targetopiarasterreproducibilityreproducible-researchtargetsvectorworkflow

51 stars 3.45 score 32 dependencies

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

42 stars 2.70 score 35 dependencies

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 7 months ago

19 stars 2.39 score 46 dependencies

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 9 months ago

broomdecision-treesgbmmachine-learningrandomforestrpartstatistical-learning

28 stars 2.22 score 23 dependencies

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

24 stars 2.14 score 11 dependencies

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 13 days ago

contact-matricesinfectious-diseasespopulation-datapublic-health

14 stars 1.95 score 79 dependencies

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 5 months ago

6 stars 1.81 score 46 dependencies

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

7 stars 0.82 score 11 dependencies

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

2 stars 0.36 score 52 dependencies

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

1 stars 0.09 score 46 dependencies