Changes in version 1.3.0 (2026-03-15) What's new: - Reversed operand order when calculating bias in ba_analysis - Added a reintegration function - Updated ggplot2 code and dependency - Modernized roxygen2 usage Changes in version 1.2.1 (2025-06-11) What's new: - Minor revisions to DESCRIPTION - Filled in absent value fields in the documentation for various exported functions - Ensured all plot-option modifications are properly reset Changes in version 1.2.0 What's new: - Primarily a re-release of 1.1.0 now that matchingMarkets is available again - Minor changes (e.g., URL fixes and updates to work with latest R versions) - Revdep checks removed since there are currently no reverse dependencies Changes in version 1.1.0 (2022-08-21) What's new: - Increased R dependency to 3.5.0 - Added risk analysis for cardiovascular disease - Added Bland-Altman analysis function - Added functions for time series dataframes, to test for continuity, reduce to full days, and manage variable order - Added a function to determine epoch length - Continued to develop functionality related to resting energy expenditure and body mass index (the latter will eventually be moved to the anthropometry package -- see https://github.com/paulhibbing/anthropometry) - Added functionality for residual adjustment Changes in version 1.0.1 (2020-05-17) What's new: - Some minor modifications have been made to clean up internal code. - The transition pairing method unit tests have been temporarily suspended. Changes in version 1.0.0 What's new: - Added a function (weight_status) to classify body mass index for adults using CDC cutoffs. (This can also be used as a wrapper for the existing function that classifies youth BMI based on CDC percentiles.) - Added Rcpp functions related to rolling windows (get_indices to extract indices for rolling windows; rolling_groups to extract rolling subsequences of raw data). - Removed dependency on orphaned clues package (resulting in changes to unit test cache) Changes in version 0.3.1 (2019-12-16) What's new: - Added a vignette for the Transition Pairing Method Changes in version 0.3.0 (2019-10-29) What's new: - Added paired equivalence testing functionality, including plot method - Added a function to classify activity intensity from metabolic equivalents and (if available) posture - Added a wrapper for base::rle that gives a data frame with original rle information, plus start/stop indices for each run - Added various performance indicators to summary.transition - Converted summary.transition output to an S4 framework, and added addition/subtraction methods - Added spurious curve generation functions - Adjusted Transition Pairing Method to make it more robust (e.g. to deal with missing values) Changes in version 0.2.0 (2019-07-10) What's new: - Removed unused dependency on package AGread - Added support for calculation of RMR via sliding window analysis - Added process management utility for easy messaging and timekeeping - Added tools to compare objects more specifically than via all.equal - Added na.rm = TRUE to the mean bias line on Bland-Altman plots - Added shape control as an option for Bland-Altman plots - Cleaned up TPM summary method - Added rejection of non-consecutive pairings to the TPM Changes in version 0.1.2 (2019-03-06) Summary This is a second resubmission of version 0.1.0. The following changes have been made: - Changed title to eliminate redundancy - Expanded the description field in DESCRIPTION to provide more detail about what the package does. - Swapped donttest{} in for dontrun{} in documentation where appropriate - Added detail to package documentation Changes in version 0.1.1 Summary This is a resubmission of version 0.1.0. The extraneous LICENSE file has been removed. Changes in version 0.1.0 Summary This is the initial release of PAutilities. Current features include: - Bland-Altman plots - Bouted moderate-to-vigorous physical activity analysis - Formatted descriptive statistics - Demographic calculations (age, BMI-for-age percentile) - Metabolic calculations (energy expenditure conversions, basal metabolic rate predictions) - Analysis of bout detection algorithm performance