Other packages > Find by keyword >

silicate  

Common Forms for Complex Hierarchical and Relational Data Structures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("silicate", "0.7.1")



Attach the package and use:
library("silicate")
Maintained by
Michael D. Sumner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-09
Latest Update: 2023-01-06
Description:
Generate common data forms for complex data suitable for conversions and transmission by decomposition as paths or primitives. Paths are sequentially-linked records, primitives are basic atomic elements and both can model many forms and be grouped into hierarchical structures.The universal models 'SC0' (structural) and 'SC' (labelled, relational) are composed of edges and can represent any hierarchical form. Specialist models 'PATH', 'ARC' and 'TRI' provide the most common intermediate forms used for converting from one form to another. The methods are inspired by the simplicial complex <https://en.wikipedia.org/wiki/Simplicial_complex> and provide intermediate forms that relate spatial data structures to this mathematical construct.
How to cite:
Michael D. Sumner (2019). silicate: Common Forms for Complex Hierarchical and Relational Data Structures. R package version 0.7.1, https://cran.r-project.org/web/packages/silicate. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.2.0 (2019-10-09 13:30), 0.3.0 (2020-03-22 18:30), 0.4.0 (2020-04-15 19:20), 0.6.1 (2020-05-12 09:00), 0.7.0 (2020-11-13 12:10)
Other packages that cited silicate R package
View silicate citation profile
Other R packages that silicate depends, imports, suggests or enhances
Complete documentation for silicate
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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