Why Longitudinal Modeling? | Installation for Advanced Models | Available Growth Models | Logistic | Gompertz | Monomolecular | Exponential | Power Law | Linear | Double Logistic | Double Gompertz | Weibull | Gumbel | Frechet | Bragg | Lorentz | Beta | GAM | Simulating data | Available Model Backends | nls | nlrq | nlme | mgcv | brms | Making models in pcvr | Using growthSS | growthSS(..., form, ...) | growthSS(..., sigma, ...) | growthSS(..., start, ...) | Strong Priors | Weak Prior | Priors in growthSS | growthSS(..., tau, ...) | growthSS(..., hierarchy, ...) | Multi Value Traits | Using fitGrowth | Check Model Fit | Hypothesis testing | testGrowth | brms::hypothesis | Threshold Models | Bayesian Analysis and Reporting Guidelines | Comparing Models Over Time | Other Resources

Example Bellwether (Lemnatech) Workflow | Load Data | FREM | Single Value Traits | Growth Trendlines | Single day comparisons | Relative Tolerance | Cumulative Phenotypes | Longitudinal Modeling | Growth Model Forms | Model setup | submodel options | Prior Distributions | Using growthSS | Running Models | Check Model Fit | Test Hypotheses | Multi Value Traits | Joyplots | Ordination | Earth Mover's Distance | Network Analysis | Conclusion

Root imaging data | Simulating Minirhyzotron data | Outlier Removal | Single Value Traits | Statistical Analysis | Longitudinal Modeling | Pairwise Comparisons | Multi Value Traits | Numbers of Peaks | EMD | Conclusion