Man pages for TwoRegression
Develop and Apply Two-Regression Algorithms
| all_data | Two-regression-ready data frame |
| count_data | Activity count data for demonstrating prior two-regression... |
| directions | Calculate direction changes per five seconds in sliding... |
| DualCP_LOSO | Perform leave-one-participant-out-cross-validation on a... |
| fit_2rm | Develop a two-regression algorithm |
| get_2rm_formula | Convert an object of class TwoRegression to a textual... |
| get_cut_point | Develop a cut-point as part of the process for developing a... |
| get_cv | Coefficient of variation for two-regression models |
| get_lm_formula | Convert a linear model to a text representation of the... |
| hibbing-helpers | Apply a Hibbing 2018 two-regression algorithm |
| hibbing-input-validation | Internal functions for the 2RM wrapper |
| imu_to_check | IMU data to check |
| imu_to_collapse | IMU data to collapse |
| plotCP | Add a cut-point to a plot |
| plot_sed | Plot behaviors for visualizing a sedentary cut-point |
| plot.TwoRegression | Create summary plots for TwoRegression objects |
| plot_walkrun | Plot behaviors for visualizing a walk/run cut-point |
| predict.TwoRegression | Predict metabolic equivalents from a TwoRegression object |
| raw_for_cv | Primary accelerometer data to calculate coefficient of... |
| raw_to_collapse | Primary accelerometer data to collapse |
| smooth_2rm | Smooth two-regression estimates over specified periods |
| summary.TwoRegression | Summary method for TwoRegression objects |
| TwoRegression-Function | Apply an existing two-regression model |
| TwoRegression-Package | Develop and Apply Two-Regression Algorithms |
