PAutilities             PAutilities: Streamline Physical Activity
                        Research
as                      As("summaryTransition", "data.frame")
ba_analysis             Perform Bland-Altman analysis on a data frame
ba_plot                 Create a Bland-Altman plot
bout_mvpa               Classify moderate-to-vigorous physical activity
                        in bouts of a specific minimum length
cvd_risk                Calculate risk of cardiovascular disease
descriptives            Compute descriptive statistics for a variable
                        in the metabolic data set
df_continuous           Check if a dataframe is continuous
df_reorder              Reorder the columns of a data frame
epoch_length_sec        Determine epoch length in seconds
ex_data                 Example data for calculating bouts of
                        moderate-to-vigorous physical activity
full_days               Drop incomplete days from a dataset
get_age                 Calculate age
get_bmr                 Retrieve estimated basal metabolic rate for an
                        individual
get_indices             Retrieve indices for a rolling window analysis
get_intensity           Classify activity intensity
get_kcal_vo2_conversion
                        Retrieve conversion factors from kilocalories
                        to oxygen consumption
get_ree                 Calculate resting energy expenditure
index_runs              Run length encoding with indices
manage_procedure        Printing and timing utility for managing
                        processes
mean_sd                 Compute the mean and standard deviation of a
                        vector, returning a formatted string containing
                        the values as 'M +/- SD'
paired_equivalence_test.data.frame
                        Perform equivalence testing on paired samples
plot.paired_equivalence
                        Plot the outcome of a paired equivalence test
plot.spurious_curve     Plot a spurious curve
plot.transition         Plot the transitions and matchings from a
                        'transition' object
reintegrate             Reintegrate accelerometer data
residual_adjust         Perform residual adjustment on an epidemiologic
                        variable
rmr_sliding             Calculate resting metabolic rate using a
                        sliding window method
rolling_groups          Loop along a vector, returning n elements at a
                        time in a list
spurious_curve          Perform a spurious curve analysis
summaryTransition-class
                        An S4 class containing summary information
                        about a 'transition' object
test_errors             Compare numeric variables in a data frame based
                        on root-squared differences
weight_status           Determine weight status from body mass index
weir_equation           Calculate energy expenditure using the Weir
                        equation
