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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