Man pages for markwh/bamr
Bayesian AMHG and Manning discharge estimation using SWOT-like river observations
| bam_check_args | Performs the following checks: - types: - logQ_hat is numeric... |
| bam_check_nas | Add missing-data inputs to data list |
| bam_data | Preprocess data for BAM estimation |
| bam_estimate | Estimate BAM |
| bam_hydrograph | Plot flow time series from BAM inference |
| bam_plot | Plot a bamr-created object |
| bam_plot.bamdata | Plot a bamdata object |
| bam_plot.bamval | Plot a bamval object to show predictive performance |
| bam_priors | Establish prior hyperparameters for BAM estimation |
| bam_qpred | Flow posterior mean and Bayesian credible interval. |
| bamr-package | The 'bamr' package. |
| bam_settings | Options manager for BAM defaults |
| bam_valdata | Create a data.frame for BAM validation |
| bam_validate | Calculate validation metrics and plots |
| CoV | Coefficient of variation |
| cv2sigma | Convert coefficient of variation to sigma parameter of... |
| Ej | E_j general efficiency statistic from Criss and Winston... |
| estimate_b | Estimate AHG b exponent using bam data |
| estimate_logA0 | Estimate base cross-sectional area using bam data |
| ln_moms | Calculate lognormal moments based on truncated normal... |
| ln_sigsq | Calculate lognormal sigma parameter based on truncated normal... |
| logNSE | NSE, computed on log-transformed residuals |
| maxmin | Maximum across xs of min across time of width |
| minmax | Minimum across xs of max across time of width |
| MRR | Mean relativ residual |
| NRMSE | Normalized root-mean-square error |
| NSE | Nash-Sutcliffe efficiency |
| rBIAS | Relative bias |
| RRMSE | Relative root-mean-square error |
| Sacramento | Remote-sensing data from the Sacramento River |
| Sacramento_sm | A small version of the Sacramento dataset |
| sample_xs | Take a random sample of a bamdata object's cross-sections. |
| SDRR | Standard deviation of relative residual |
