Predict isotope provenance

Predicts Pb isotope provenance of a sample matrix using a XGBoost trained list

Usage

pb_iso_prov_predict(x, ...)

# S3 method for class 'ASTR'
pb_iso_prov_predict(x, model_list = NULL, top = 1, ...)

Arguments

x

Matrix of pb_iso_endmembers() object of pb isotope samples.

...

Additional parameters.

model_list

Model list generated by pb_iso_train_data().

top

Number of highest probability values considered for final output, default value is 1.

Value

Data frame object or list of data frames.

See also

pb_iso_train_data

Other Pb isotope functions: age_models, as_pbiso_ref_data(), geom_sk_lines(), pb_iso_endmembers(), pb_iso_prov_dist(), pb_iso_train_data(), tel_dor

Examples

# Create an 'ASTR_Pbiso_ref_data' object
GlobaLID_ASTR_ref <- as_pbiso_ref_data(GlobaLID_ASTR,
                  names(GlobaLID_ASTR)[[2]],
                  min_groupsize = 5)

# Train machine learning model
if (FALSE) ml_model <- pb_iso_train_data(GlobaLID_ASTR_ref) # \dontrun{}

# Predict using a pre-trained model
if (FALSE) pb_iso_prov_predict(tel_dor, model_list = ml_model, .top = 1) # \dontrun{}