Create Metrics of Actigraphy and Activity Analysis

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Documentation for package ‘actimetrics’ version 0.10.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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acti_apply_cole_kripke	Process Count Data
acti_apply_sadeh	Process Count Data
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_activity_index	Calculate the Activity Index (AI)
acti_calculate_ai	Calculate the Activity Index (AI)
acti_calculate_ai_defined	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_auc	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_counts	Process Count Data
acti_calculate_enmo	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_fast_mims	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_flags	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_forest	Calculate Step Counts via Oak/Forest
acti_calculate_mad	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_measures	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_mims	Calculate Summary Measures from Raw Accelerometer Data
acti_calculate_nonwear	Process Count Data
acti_calculate_n_idle	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	Process Count Data
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_calibrate	Calibrate Accelerometer Data using 'agcounts'
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	Classify adult ENMO with Hildebrand cut-points
acti_threshold_hildebrand_hip	Classify adult ENMO with Hildebrand cut-points
acti_threshold_hildebrand_wrist	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
mims_default_extrapolation	Default MIMS worker functions
mims_default_filtering	Default MIMS worker functions
mims_default_interpolation	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