CTS_n_sources: Consistent Tracer Selection (CTS) for multiple sources
In OceanTracer: Marine Source Unmixing Toolkit
View source: R/CTS_n_sources.R
CTS_n_sources R Documentation
Consistent Tracer Selection (CTS) for multiple sources
Description
Identifies the most discriminant minimal tracer combinations (n-1)
by solving determined systems and assessing solution dispersion. Lower dispersion
indicates higher discriminant capacity.
Usage
CTS_n_sources(data, iter = 1000, seed = 123456)
CTS_seeds(data, iter = 1000, seed = 123456)
Arguments
data
Data frame containing sediment source and mixture data.
iter
Number of Monte Carlo iterations for variability analysis.
seed
Integer for reproducibility.
Value
A data frame with all tracer combinations, source apportionments (wi),
physical feasibility (0 < wi < 1), and solution dispersion (sd_wi).
Results are sorted by the lowest maximum dispersion.
References
Latorre, B., Lizaga, I., Gaspar, L., & Navas, A. (2021). A novel method for analysing
consistency and unravelling multiple solutions in sediment fingerprinting.
OceanTracer documentation built on Oct. 15, 2026, 5:09 p.m.
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View source: R/CTS_n_sources.R
| CTS_n_sources | R Documentation |
Consistent Tracer Selection (CTS) for multiple sources
Description
Identifies the most discriminant minimal tracer combinations (n-1) by solving determined systems and assessing solution dispersion. Lower dispersion indicates higher discriminant capacity.
Usage
CTS_n_sources(data, iter = 1000, seed = 123456)
CTS_seeds(data, iter = 1000, seed = 123456)
Arguments
data |
Data frame containing sediment source and mixture data. |
iter |
Number of Monte Carlo iterations for variability analysis. |
seed |
Integer for reproducibility. |
Value
A data frame with all tracer combinations, source apportionments (wi), physical feasibility (0 < wi < 1), and solution dispersion (sd_wi). Results are sorted by the lowest maximum dispersion.
References
Latorre, B., Lizaga, I., Gaspar, L., & Navas, A. (2021). A novel method for analysing consistency and unravelling multiple solutions in sediment fingerprinting.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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