create_example(), get_perc_1RM(), get_reps()progression_rel_int() functionnRM_testing dataset to RTF_testing, as well as renamed the columns to be more descriptiveestimate_k_mixed(), estimate_k_1RM_mixed(), estimate_kmod_mixed(), estimate_kmod_1RM_mixed(), estimate_klin_mixed(), and estimate_klin_1RM_mixed(). These are implemented using the {nlme} package and nlme::nlme() functionstrength_training_log dataset. eRIR ratings are now halved, and everything over 5 is now NAget_reps() function documentationAdded different weighting options for the estimate_ family of functions. These include
1/reps weighting)1/(eRIR+1) weighting)Added strength_training_log dataset. Single individual performing two strength training sessions per week, over the course of 12 weeks (4 phases, each 3 weeks long). Individual eRIR (estimated reps-in-reserve) subjective rating is included in the dataset. This dataset is used to demonstrate techniques for embedded testing of the 1RM and individual profiles
Added estimate_k_quantile(), estimate_kmod_quantile(), and estimate_klin_quantile() functions to implement non-linear quantile estimation of the parameters
REWRITTEN the whole package. This version will have compatibility issues with the previous version due to different naming of the functions. The package is now more modular, flexible, and can be parameterized more easily
The functions are organized in the following manner:
estimate_)max_). Epley’s, Modified Epley’s and Linear/Brzycki’s model are implementedadj_). Deducted Intensity (DI), Relative Intensity (RelInt), Reps In Reserve (RIR), and % Max Reps (%MR) methods are implementedget_reps() and get_perc_1RM() are implemented to combine reps-max models as well as progression (adjustment) functions into easy to use formatprogression_) are implemented and allow easy parameterization to involve specific model and their estimated parameter valuesvertical_)scheme_)generate_progression_table(), plot_progression_table(), plot_scheme(), and create_example()Fixed few typos in citation()
Added sample data set nRM_testing, which contains reps max testing of 12 athletes using 70, 80, and 90% 1RM
1RM in estimate_xxx_1RM() functions is now in the second place in coefficient ordercreate_example() function for quickly creating example using selected progression tableget_max_perc_1RM()). Also see get_max_perc_1RM_k() functionsget_max_perc_1RM_k(), get_max_reps_k(), and get_predicted_1RM_k() functions that uses user defined k value/parameter. Together with the previous functionality, use is not able to easily create custom max-reps table functions with extra arguments. This provides great flexibilityget_max_perc_1RM_kmod(), get_max_reps_kmod(), and get_predicted_1RM_kmod() functions that uses user defined kmod value/parameter for the modified Epley’s equation Added get_max_perc_1RM_klin(), get_max_reps_klin(), and get_predicted_1RM_klin() functions that uses user defined klin value/parameter for the linear equationestimate_ family of functions to estimate Epley’s, modified Epley’s, and linear equation parameters, as well as novel estimation functions that uses absolute weight to estimate both k, kmod, klin and 1RM parametersNEWS.md file to track changes to the package.