A B C D E F G H I L M N O P Q R S T U V W Y Z
| adjusted_boxplot | Adjusted Boxplot |
| apply_calibration | Apply a Wavelength Calibration |
| average | Fast Average for Large Spectral Dataset |
| baseline_als | Asymmetric Least Squares |
| baseline_arpls | Asymmetrically Reweighted Penalized Least Squares |
| baseline_lambda | Baseline Smoothness Parameter |
| baseline_lsp | Least-Squares Polynomial |
| biweight_location | Biweight Location |
| biweight_midcorrelation | Biweight Midcorrelation |
| biweight_midcovariance | Biweight Midcovariance |
| biweight_midvariance | Biweight Midvariance |
| biweight_scale | Biweight Scale |
| boltzmann | Plasma Temperature from a Boltzmann Plot |
| calibration_curve | Univariate Calibration Curve |
| cellpca | Robust PCA by Casewise and Cellwise Weighting (cellPCA) |
| center | Data Centering |
| cf_libs | Calibration-Free LIBS Quantification |
| contributions | Q and T-squared Contributions of a PCA Model |
| correct_self_absorption | Self-Absorption Correction with an Internal Reference Line |
| correlation | Correlation Coefficients: Pearson, Spearman, Kendall, Chatterjee, and Biweight Midcorrelation |
| directional_outlyingness | Directional Outlyingness for Skewed Distribution |
| direct_orthogonal | Direct Orthogonalization |
| direct_osc | Direct Orthogonal Signal Correction |
| dmodx | Distance to the Model (DModX) of a PCA Model |
| electron_density | Electron Density from Stark Broadening |
| emsc | Extended Multiplicative Signal Correction |
| epo | External Parameter Orthogonalization |
| flagged_regions | Flagged Regions of a MacroPCA or cellPCA Fit |
| forageLIBS | LIBS Spectra of Forage Samples |
| gaussian_profile | Gaussian Function |
| generalized_boxplot | Generalized Boxplot |
| glsw | Generalized Least Squares Weighting |
| glsw_alpha | Relative GLSW Weighting Parameter |
| hotelling_t2 | Hotelling's T-squared Statistic of Samples in an Embedding |
| iqr_outliers | Interquartile Range Method |
| libs_lines | Candidate Emission Lines for LIBS Spectra |
| line_finder | Interactive Identification of Emission Lines |
| line_intensities | Intensities of Emission Lines |
| loading_peaks | Peaks of the Loadings of a PCA |
| lorentzian_profile | Lorentzian Function |
| macropca | Robust PCA for Cellwise and Casewise Outliers (MacroPCA) |
| mcwhirter_criterion | McWhirter Criterion for Local Thermodynamic Equilibrium |
| medcouple_weight | Medcouple Tail Weight Measure |
| minmax | Min-Max Normalization |
| msc | Multiplicative Signal Correction |
| multipeak_fit | Multiple Peaks Fitting |
| nas | Net Analyte Signal and Figures of Merit |
| nist_ionization_energy | Ionization Energies from the NIST Atomic Spectra Database |
| nist_levels | Energy Levels and Partition Functions from the NIST Atomic Spectra Database |
| nist_lines | Atomic Line Data from the NIST Atomic Spectra Database |
| normalize | Spectra Normalization |
| o2pls | Modified Orthogonal Projections to Latent Structures |
| opls | Orthogonal Projections to Latent Structures |
| osc | Orthogonal Signal Correction |
| pareto_scale | Pareto Scaling |
| partition_function | Energy Levels and Partition Functions from the NIST Atomic Spectra Database |
| pds | Piecewise Direct Standardization |
| peak_fit | Peak Fitting |
| plot_boltzmann | Draw a Boltzmann or Saha-Boltzmann Plot |
| plot_calibration | Plot a Calibration Curve |
| plot_cell_map | Cell Map of a MacroPCA or cellPCA Fit |
| plot_contributions | Plot Q and T-squared Contributions |
| plot_embedding | Plot a Two-Dimensional Embedding |
| plot_fit | Plotting of Fitted Spectral Line |
| plot_influence | Influence Plot of a PCA Model |
| plot_lines | Overlay Emission Lines on a Spectrum |
| plot_loadings | Loadings of a PCA as Spectra |
| plot_outliers | Univariate Representation of Multivariate Outliers |
| plot_outlier_map | Outlier Map of a Robust PCA |
| plot_som | Plot a Self-Organizing Map |
| plot_spectra | Plotting of Spectra |
| plot_wavelength_calibration | Plot a Wavelength Calibration |
| poisson_scale | Poisson Scaling |
| predict.o2pls | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_calibration | Predict from a Calibration Curve |
| predict.specproc_cellpca | Scores and Distances of New Observations |
| predict.specproc_direct_orthogonal | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_direct_osc | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_emsc | Apply EMSC to New Spectra |
| predict.specproc_epo | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_filter | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_macropca | Scores and Distances of New Observations |
| predict.specproc_nas | Net Analyte Signal of New Samples |
| predict.specproc_opls | Predict with an OPLS Model |
| predict.specproc_osc | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_projected_osc | Apply an Orthogonalization Filter to New Spectra |
| predict.specproc_robpca | Scores and Distances of New Observations |
| predict.specproc_som | Map New Spectra onto a Self-Organizing Map |
| predict.specproc_wavelength_calibration | Correct Wavelengths with a Wavelength Calibration |
| projected_osc | Projected Orthogonal Signal Correction |
| pseudo_voigt_profile | Pseudo-Voigt Function |
| quantile_weight | Quantile Tail Weight Measure |
| q_residuals | Hotelling's T-squared and Q Residuals of a PCA Model |
| read_starkb | Read Saved STARK-B Data |
| reject_shots | Rejection of Outlying Laser Shots |
| robpca | Robust Principal Component Analysis (ROBPCA) |
| robust_bcyj | Robust Box-Cox and Yeo-Johnson Transformation |
| rospca | Robust Sparse Principal Component Analysis (ROSPCA) |
| rousseeuw_croux | Rousseeuw-Croux Scale Estimators |
| saha_boltzmann | Plasma Temperature from a Saha-Boltzmann Plot |
| saturation_summary | Detect Saturated Channels in Spectra |
| savgol_derivative | Derivative Order of a Savitzky-Golay Filter |
| savitzky_golay | Savitzky-Golay Smoothing and Derivatives |
| self_absorption | Self-Absorption Coefficient from Line Widths |
| snv | Standard Normal Variate |
| som | Self-Organizing Map of Spectra |
| som_stability | Stability of a Self-Organizing Map |
| spectral_norm_method | Norm of a Spectral Normalization |
| starkb_lines | Stark Broadening Parameters from the STARK-B Database |
| stark_table | Build a Table of Stark Broadening Parameters |
| stark_width | Stark Width of a Line at Given Plasma Conditions |
| step_baseline | Baseline Correction Recipe Step |
| step_cellpca | cellPCA Recipe Step |
| step_direct_orthogonal | Direct Orthogonalization Recipe Step |
| step_direct_osc | Direct Orthogonal Signal Correction Recipe Step |
| step_emsc | Extended Multiplicative Signal Correction Recipe Step |
| step_epo | External Parameter Orthogonalization Recipe Step |
| step_glsw | Generalized Least Squares Weighting Recipe Step |
| step_line_intensities | Emission Line Intensities Recipe Step |
| step_line_ratio | Internal Standard Normalization Recipe Step |
| step_macropca | MacroPCA Recipe Step |
| step_msc | Multiplicative Scatter Correction Recipe Step |
| step_o2pls | O2PLS Filter Recipe Step for One or Several Outcomes |
| step_opls | Orthogonal Projections to Latent Structures (OPLS) Recipe Step |
| step_osc | Orthogonal Signal Correction Recipe Step |
| step_pareto_scale | Pareto Scaling Recipe Step |
| step_poisson_scale | Poisson Scaling Recipe Step |
| step_projected_osc | Projected Orthogonal Signal Correction (OPLS Filter) Recipe Step |
| step_reject_shots | Shot Rejection Recipe Step |
| step_robpca | Robust PCA (ROBPCA) Recipe Step |
| step_robust_bcyj | Robust Box-Cox and Yeo-Johnson Transformation Recipe Step |
| step_rospca | Robust Sparse PCA (ROSPCA) Recipe Step |
| step_savgol | Savitzky-Golay Recipe Step |
| step_snv | Standard Normal Variate Recipe Step |
| step_spectral_norm | Spectral Normalization Recipe Step |
| step_wavelet | Wavelet Features Recipe Step |
| step_y_gradient_glsw | y-Gradient Generalized Least Squares Weighting Recipe Step |
| summary_stats | Classical or Robust Descriptive Statistics |
| tukey_gh | Tukey g-and-h Parametric Distribution |
| umad | Unbiased Median Absolute Deviation |
| voigt_fwhm | Full Width at Half Maximum of a Voigt Profile |
| voigt_profile | Voigt Function |
| wavelength_calibration | Wavelength Calibration from Reference Lines |
| wavelet_features | Wavelet Coefficients of Spectra |
| wavelet_level | Number of Levels of a Wavelet Decomposition |
| y_gradient_glsw | y-Gradient Generalized Least Squares Weighting |
| zscore | Classical or Robust Z-Score |