Package index • actimetrics

All functions

acti_apply_tudor_locke(): Apply Tudor–Locke sleep period detection
acti_apply_tudor_locke_diary(): Apply a sleep diary to epoch data for Tudor–Locke
acti_calculate_ai() acti_calculate_activity_index(): Calculate the Activity Index (AI)
acti_calculate_counts() acti_calculate_wear() acti_calculate_nonwear() acti_apply_cole_kripke() acti_apply_sadeh(): Process Count Data
acti_calculate_forest(): Calculate Step Counts via Oak/Forest
acti_calculate_measures() acti_calculate_flags() acti_calculate_n_idle() acti_calculate_enmo() acti_calculate_ai_defined() acti_calculate_mad() acti_calculate_auc() acti_calculate_fast_mims() acti_calculate_mims(): Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_sdt(): Calculate Step Counts via SDT
acti_calculate_stepcount(): Calculate Step Counts via stepcount
acti_calculate_verisense(): Calculate Step Counts via Verisense
acti_calculate_wear_raw(): Estimate Non-wear from Raw Accelerometry
acti_calculate_wear_raw_actipy(): Estimate Non-wear from Raw Accelerometry with the actipy Method
acti_calculate_wear_raw_ggir(): Estimate Non-wear from Raw Accelerometry with the GGIR Method
acti_count_data: Example Actigraphy/Activity Count Data
acti_process(): Process Raw data to Counts
acti_process_study(): Process all supported actigraphy files in a directory
acti_sleep_diary(): Identify a diary-defined sleep window
acti_sleep_ensemble(): Run a sleep-label ensemble from raw or epoch data
acti_sleep_fuse_labels(): Fuse multiple sleep/wake labels with STAPLE
acti_sleep_guider(): Dispatch a sleep-period-time guider from data
acti_sleep_guider_requirements(): Describe data requirements for sleep guiders
acti_sleep_hdcza(): Identify a sleep window with HDCZA
acti_sleep_hlrb(): Identify the longest rest bout from sustained inactivity bouts
acti_sleep_horangle(): Identify a sleep window from horizontal posture
acti_sleep_l5(): Identify a sleep window from the least-active five hours
acti_sleep_label(): Convert a sleep guider to epoch-level sleep/wake labels
acti_sleep_labels(): Create sleep/wake labels for multiple guiders
acti_sleep_notworn(): Identify a low-activity window for no-night-wear protocols
acti_sleep_setwindow(): Identify a fixed daily sleep window
acti_sleep_sib(): Detect sustained inactivity bouts (SIBs)
acti_threshold_counts(): Classify activity counts using intensity thresholds
acti_threshold_enmo(): Classify ENMO using activity-intensity thresholds
acti_threshold_hildebrand() acti_threshold_hildebrand_wrist() acti_threshold_hildebrand_hip(): Classify adult ENMO with Hildebrand cut-points
acti_threshold_montoye(): Classify wrist ActiGraph counts with Montoye cut-points
acti_threshold_romanzini(): Classify adolescent hip ActiGraph counts with Romanzini cut-points
acti_threshold_sasaki(): Classify hip ActiGraph counts with Sasaki cut-points
acti_calibrate(): Calibrate Accelerometer Data using agcounts
mims_default_extrapolation() mims_default_interpolation() mims_default_filtering(): Default MIMS worker functions
mims_default_processing(): Default MIMS Pre-processing
py_acti_calculate_forest(): Perform step count calculation in a separate Python environment
py_acti_calculate_stepcount(): Perform step count calculation in a separate Python environment