Statistical Approaches for Time-to-Event Data in Agriculture
Compare time-to-event curves
Fitting time-to-event models for seed science
Sets control arguments
Estimating the quantiles for time-to-event models
Service functions
Kernel estimator for the cumulative distribution function
Log-logistic distribution of germination times within a seed lot
Log-normal distribution of times to an event
Germination assay with Lotus ornithopodioides
NPMLE for time-to-event data
Plotting fitted time-to-event models
Data for plotting fitted time-to-event models
Prediction
Estimating quantiles for time-to-event models
Reshaping time-to-event datasets
Summarising time-to-event fits
A specific and comprehensive framework for the analyses of time-to-event data in agriculture. Fit non-parametric and parametric time-to-event models. Compare time-to-event curves for different experimental groups. Plots and other displays. It is particularly tailored to the analyses of data from germination and emergence assays. The methods are described in Onofri et al. (2020) "A unified framework for the analysis of germination, emergence, and other time-to-event data in weed science"", Weed Science, 70, 259-271 <doi:10.1017/wsc.2022.8>.