| bootstrap_trend | parameteric bootstrap the correlation coefficient under both... |
| compare | Bootstrap parameters and likelihood ratios |
| constOU | OU model for stable system |
| converge | converge generic test |
| converge.gauss | Test if a gaussian model fit has converged |
| dc.gauss | probability density |
| fit_models | fit both constant and time-dependent model |
| fitted.gauss | extract the fitted model parameters |
| get_replicates | extract the replicates simulations by model |
| lik_ratios | extract the likelihood ratios under both null and test... |
| logLik.gauss | extract the logLik |
| LSN | Linearized Saddle Node model |
| parameter_bootstraps | extract a data.frame of parameters from the bootstrapped... |
| pc.gauss | cumulative density function |
| rc.gauss | random number draw from a gauss model |
| roc_data | Compute data to draw an ROC curve |
| simulate.gauss | simulate method |
| stability_model | stability model fitting |
| summary_statistic | apply a summary statistic over a set of replicate data |
| update.gauss | update routine for gaussian model fits |
| warningtrend | calculate the correlation coefficient of some summary... |
| window_ar.ols | Compute autocorrelation over a sliding window by a least... |
| window_autocorr | Compute autocorrelation over a sliding window |
| window_cv | Compute the coefficient of variation (var/mean) in a sliding... |
| window_kurtosi | Compute kurtosis |
| window_mean | Compute mean over a sliding window |
| window_skew | Compute skew in a sliding window |
| window_var | Compute variance over a sliding window |
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