This package is considered a duplicate. The official version of this package is found at:https://coffeemuggler.r-universe.dev/EMMAgeo

Package: EMMAgeo 0.9.10

Michael Dietze

EMMAgeo: End-Member Modelling of Grain-Size Data

End-member modelling analysis of grain-size data is an approach to unmix a data set's underlying distributions and their contribution to the data set. EMMAgeo provides deterministic and robust protocols for that purpose.

Authors:Michael Dietze [cre, aut, trl], Elisabeth Dietze [ctb]

EMMAgeo_0.9.10.tar.gz
EMMAgeo_0.9.10.tar.gz(r-4.7-any)EMMAgeo_0.9.10.tar.gz(r-4.6-any)
EMMAgeo_0.9.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EMMAgeo/json (API)

# Install 'EMMAgeo' in R:

install.packages('EMMAgeo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

EMpot - Example data
EMrob - Example data
X - Example data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.45 score 28 scripts 270 downloads 1 mentions 22 exports 34 dependencies

Last updated from:e613d8c523. Checks:4 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	124
source / vignettes	OK	222
linux-release-x86_64	OK	152
wasm-release	OK	115

Exports:check.data click.limits convert.units create.EM EMMA get.l get.l.opt get.limits get.q GUI interpolate.classes mix.EM model.EM residual.EM robust.EM robust.loadings robust.scores test.factors test.l test.l.max test.parameters test.robustness

Dependencies:base64enc bitops bslib cachem caTools cli commonmark digest fastmap fontawesome fs glue GPArotation htmltools httpuv jquerylib jsonlite later lifecycle magrittr memoise mime nnls otel promises R6 rappdirs Rcpp rlang sass shiny sourcetools withr xtable

Citation

Readme and manuals

Help Manual

Help page	Topics
End-member modelling algorithm and supporting functions for unmixing grain-size distributions and further compositional data.	EMMAgeo-package EMMAgeo
Check correctness and consistency of input data	check.data
Define mode limits by mouse clicks.	click.limits
Convert between phi and micrometers.	convert.units
Create grain-size-distributions.	create.EM
End-member modelling analysis algorithm.	EMMA
example data	EMpot
example data	EMrob
Generate a vector of weight transformation values from l.min to l.max.	get.l
Identify optimum weight transformation value	get.l.opt
Infer lower and upper mode position limits to define robust end-members.	get.limits
Generate a parameter matrix with q.min and q.max values for robust EMMA.	get.q
Start GUI for EMMA	GUI
Interpolate data between different classes.	interpolate.classes
Function to mix sample spectres.	mix.EM
Model all possible end-member scenarios	model.EM
Calculate a residual end-member loading.	residual.EM
Extract robust end-members	robust.EM
Extract robust end-member loadings	robust.loadings
Extract robust end-member scores.	robust.scores
Calculate the initial cumulative explained variance of factors.	test.factors
Test a vector of weight transformation limits for mximum value.	test.l
Find maximum possible wight transformation value.	test.l.max
Evaluate influence of model parameters.	test.parameters
Test model robustness.	test.robustness
example data	X

Package: EMMAgeo 0.9.10

EMMAgeo: End-Member Modelling of Grain-Size Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)