Package: accelmissing 2.2
accelmissing: Missing Value Imputation for Accelerometer Data
We present a statistical method for imputing missing values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputation under the zero-inflated Poisson lognormal model. It also offers several functions to preprocess accelerometer data before imputation. These include detecting wear and non-wear time, selecting valid days and subjects, and generating plots.
Authors:
accelmissing_2.2.tar.gz
accelmissing_2.2.zip(r-4.7)accelmissing_2.2.zip(r-4.6)accelmissing_2.2.zip(r-4.5)
accelmissing_2.2.tgz(r-4.6-any)accelmissing_2.2.tgz(r-4.5-any)
accelmissing_2.2.tar.gz(r-4.7-any)accelmissing_2.2.tar.gz(r-4.6-any)
accelmissing_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
accelmissing/json (API)
| # Install 'accelmissing' in R: |
| install.packages('accelmissing', repos = c('https://jungaeleeb.r-universe.dev', 'https://cloud.r-project.org')) |
- acceldata - Accelerometer Data Example
- acceldata2 - Accelerometer Data Example 2
- accelimp - Accelerometer Data Example with Imputations
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5cd4d65537. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 146 | ||
| source / vignettes | OK | 171 | ||
| linux-release-x86_64 | OK | 170 | ||
| macos-release-arm64 | OK | 98 | ||
| macos-oldrel-arm64 | OK | 123 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 110 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 149 |
Exports:accel.imputeaccel.plot.7dayscreate.flagmice.impute.2l.zip.pmmmice.impute.2l.ziplnmice.impute.2l.zipln.pmmmissing.ratevalid.daysvalid.subjectswear.time.plot
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspsclpurrrR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Missing Value Imputation for Accelerometer Data | accelmissing-package accelmissing |
| Missing Value Imputation for Accelerometer Data | accel.imp accel.imputation accel.impute |
| Daily Activity Plot | accel.plot.7days |
| Accelerometer Data Example | acceldata |
| Accelerometer Data Example 2 | acceldata2 |
| Accelerometer Data Example with Imputations | accelimp |
| Create a Missing Flag Matrix | create.flag |
| Imputation by PMM under ZIP model. | mice.impute.2l.zip.pmm |
| Imputation by Bayesian ZIPLN model. | mice.impute.2l.zipln |
| Imputation by PMM under ZIPLN model. | mice.impute.2l.zipln.pmm |
| Computing Missing Rate | missing.rate |
| Select the Valid Days | valid.days |
| Include or Exclude Subjects by Criteria | valid.subjects |
| Proportion of Wearing over Time | wear.time.plot |
