shorts 1.1.0 Used constructor functions for all modeling functions Added modular short_model_fit function with three extra estimators: MAE, MAPE, and MaxAbsErr. This function is hidden from the user, but allows easier extension and modularity as well avoidance of code repetition Added time_correction and distance_correction to all model parameters output to align them Added S3 predict_kinematics function that predicts 0-6s distance (100Hz), velocity, acceleration, and relative power Added S3 print, coef, summary, predict, and residuals methods Added LOOCV option to modeling functions which provided cross-validated predictions and estimated model parameters Added random parameter to mixed_ family of functions to allow higher flexibility in model definitions, but removed corrections_as_random_effects parameter. The default behavious is to use all parameters as random effects. Added ... to model_using_radar and mixed_model_using_radar to be forwarded to nlme::nlme Expanded the Readme.md file Expanded the sprint-corrections vignette by adding a short simulation study