mladenjovanovic/shorts: Shorts with LOOCV

Published July 27, 2020 | Version 1.1.0

Software Open

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

Files

Name	Size	Download all
mladenjovanovic/shorts-1.1.0.zip md5:e25545b1a3a4de8f4045924481f4655d	11.8 MB	Preview Download

Is supplement to: https://github.com/mladenjovanovic/shorts/tree/1.1.0 (URL)