R: Peak Detection and Fire History from Sediment-Charcoal Records

# Peak Detection and Fire History from Sediment-Charcoal Records

## Documentation for package ‘CharAnalysis’ version 2.0.2

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

## Help Pages

CharAnalysis | Run the full CharAnalysis pipeline
char_lowess | Locally-weighted linear regression matching MATLAB charLowess.m / smooth()
char_parameters | Read CharAnalysis parameter and data files
char_peak_id | Identify charcoal peaks and apply minimum-count screening
char_plot | CharAnalysis output figures
char_plot_all | CharAnalysis output figures
char_plot_cumulative | CharAnalysis output figures
char_plot_fire_history | CharAnalysis output figures
char_plot_fri | CharAnalysis output figures
char_plot_peaks | CharAnalysis output figures
char_plot_raw | CharAnalysis output figures
char_plot_sni | CharAnalysis output figures
char_plot_thresh_diag | CharAnalysis output figures
char_plot_zones | CharAnalysis output figures
char_pretreatment | Interpolate and pretreat a charcoal time series
char_smooth | Smooth charcoal record to estimate low-frequency C_background
char_thresh_global | Calculate a global threshold value for charcoal peak identification
char_thresh_local | Calculate a per-sample local threshold for charcoal peak identification
char_validate_params | Validate CharAnalysis input parameters
char_write_results | Write the CharAnalysis results matrix to a CSV file
gaussian_mixture_em | Gaussian Mixture EM - direct R port of GaussianMixture.m (Bowman CLUSTER)