R: Unmixing Model Framework

# Unmixing Model Framework

## Documentation for package ‘fingerPro’ version 2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

averaged_dataset | Builds an averaged dataset from raw data
box_plot | Generate box-and-whisker plots for sediment tracers
CB_method | Apply the Conservative Balance (CB) method for isotopic tracer analysis
CI | Compute the Conservativeness Index (CI) for individual tracers
correlation_plot | Create a correlation matrix chart for tracer redundancy
CR | Rank tracers using the Consensus Ranking (CR) method
CTS_explore | Identify minimal tracer combinations with high discriminant power
CTS_select | Extend minimal tracer sets by evaluating mathematical consistency
LDA_plot | Perform and visualize Linear Discriminant Analysis (LDA)
PCA_plot | Perform and visualize Principal Component Analysis (PCA)
plot_results | Visualize the results of a sediment unmixing analysis
range_test | Verifies if target sediment concentrations fall within the range of potential source values.
raw_dataset | Build a raw dataset from averaged data
read_database | Read a sediment unmixing database
ternary_diagram | Visualize tracer distributions using ternary diagrams
unmix | Perform sediment source apportionment (unmixing)
validate_results | Evaluate the mathematical consistency of a tracer selection
virtual_mixture | Create a synthetic sediment mixture for validation