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mMARCH.AC

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Version

Install

install.packages('mMARCH.AC')

Monthly Downloads

577

Version

3.3.4.0

License

GPL-3

Issues

2

Pull Requests

0

Stars

2

Forks

1

Maintainer

Wei Guo

Last Published

February 5th, 2026

Functions in mMARCH.AC (3.3.4.0)

mMARCH.AC.maincall

Main Call for Data Processing after Runing GGIR for Accelerometer Data
Time2

Time of A Certain activity State
ggir.datatransform

Transform the data and merge all accelerometer files in the GGIR output
SVDmiss2

Modified SVDmiss function (package SpatioTemporal)
get_mean_sd_hour

get subject average of time variables
RA_long2

Relative Amplitude for the Whole Datset
fragmentation_long2

Fragmentation Metrics for Whole Dataset
pheno.plot

View phenotype variables
wear_flag

Create Wear/Nonwear Flags
Time_long2

Timne Metrics for Whole Dataset
makeSleepDataMatrix

Make a sleep matrix based on the sleep onset and wake up time
ActExtendCosinor_long2

Cosinor Model for Circadian Rhythmicity for the Whole Dataset
ActCosinor2

Cosinor Model for Circadian Rhythmicity
IV2

Intradaily Variability
DataShrink

Annotating the merged data for all accelerometer files in the GGIR output
NormalizeGGIRDate

Normalize GGIR dates to ISO format
IV_long2

Intradaily Variability for the Whole Dataset
IS_long2

Interdaily Statbility for the Whole Dataset
IS2

Interdaily Statbility
ActExtendCosinor2

Extended Cosinor Model for Circadian Rhythmicity
ActCosinor_long2

Cosinor Model for Circadian Rhythmicity for the Whole Dataset
create.shell

Create a template shell script of mMARCH.AC
data.imputation

Data imputation for the cleaned data with annotation
bin_data2

Bin data into longer windows
Tvol2

Total Volumen of Activity for Whole Dataset
RA2

Relative Amplitude
PAfun

Timne Metrics for Whole Dataset
fragmentation2

Fragmentation Metrics
ggir.summary

Description of all accelerometer files in the GGIR output
jive.predict2

Modified jive.predict function (package: r.jive)