Package: accelmissing 1.4
accelmissing: Missing Value Imputation for Accelerometer Data
Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
Authors:
accelmissing_1.4.tar.gz
accelmissing_1.4.zip(r-4.5)accelmissing_1.4.zip(r-4.4)accelmissing_1.4.zip(r-4.3)
accelmissing_1.4.tgz(r-4.5-any)accelmissing_1.4.tgz(r-4.4-any)accelmissing_1.4.tgz(r-4.3-any)
accelmissing_1.4.tar.gz(r-4.5-noble)accelmissing_1.4.tar.gz(r-4.4-noble)
accelmissing_1.4.tgz(r-4.4-emscripten)accelmissing_1.4.tgz(r-4.3-emscripten)
accelmissing.pdf |accelmissing.html✨
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 7 years agofrom:ac97654556. Checks:3 OK, 5 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 27 2025 |
| R-4.5-win | NOTE | Jan 27 2025 |
| R-4.5-mac | NOTE | Jan 27 2025 |
| R-4.5-linux | NOTE | Jan 27 2025 |
| R-4.4-win | NOTE | Jan 27 2025 |
| R-4.4-mac | NOTE | Jan 27 2025 |
| R-4.3-win | OK | Jan 27 2025 |
| R-4.3-mac | OK | Jan 27 2025 |
Exports:accel.imputeaccel.plot.7dayscreate.flagmice.impute.2l.zip.pmmmice.impute.2l.ziplnmice.impute.2l.zipln.pmmmissing.ratevalid.daysvalid.subjectswear.time.plot
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspsclpurrrR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| accelmissing | 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 |
