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Getting started with kernR

Does the treatment cause the outcome, or do they share a cause?

A treatment that changes the spread and not the mean

When plots sit inside farms

Calibration and validation

Are these draws calibrated, and do the engines agree?

Sensitivity and identifiability

Which parameters are worth calibrating?

Which parameters change the shape of the output distribution?

Acceleration and scaling

Scaling HSIC to large ensembles

Downscaling

From a coarse grid to a paddock

Cross-package integration with PESTO and proxymix

Is the calibrated model right about more than the mean?

Did the management change shift the simulated distribution?

Multi-site trials and the permutation null

Choosing a density-ratio backend