Package: rACMEMEEV 1.0.1
Alexander Lee
rACMEMEEV: Multi-Variate Measurement Error Adjustment
A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
Authors:
rACMEMEEV_1.0.1.tar.gz
rACMEMEEV_1.0.1.tar.gz(r-4.7-any)rACMEMEEV_1.0.1.tar.gz(r-4.6-any)
rACMEMEEV_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rACMEMEEV/json (API)
NEWS
| # Install 'rACMEMEEV' in R: |
| install.packages('rACMEMEEV', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/westford14/racme-meev/issues
Last updated from:b397ec646a. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 288 | ||
| source / vignettes | OK | 315 | ||
| linux-release-x86_64 | OK | 429 | ||
| wasm-release | OK | 166 |
Exports:acf_plotsacme_modelattenuation_matrixcreate_model_stringcreate_modelling_datacreate_stan_model_stringfisher_z_transformgenerate_coefficientmultivariate_modelpipelineplot_covariatessensitivity_analysisstandardize_with_returntraceplots
Dependencies:abindbackportsbayesplotBHbootbroomcallrcarcarDatacheckmateclicodacodetoolscolorspacecorrplotcowplotcpp11DerivdescdistributionaldoBydoSNOWdplyrfarverforeachforecastFormulafracdiffgenericsggplot2ggpubrggrepelggridgesggsciggsignifgluegridExtragtableinlineisobanditeratorslabelinglatticelifecyclelme4lmtestloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivotelparallellypatchworkpbkrtestpillarpkgbuildpkgconfigplyrpolynomposteriorprocessxpspurrrquantregQuickJSRR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasreshape2rjagsrlangrstanrstatixS7scalessnowSparseMStanHeadersstringistringrsurvivaltensorAtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create Auto Correlation Plots for Models | acf_plots |
| Model the Data | acme_model |
| Create Attenuation Contamination Matrix | attenuation_matrix |
| Define a Model that is JAGS Usable | create_model_string |
| Data Preparation and Formatting for Modelling | create_modelling_data |
| Define the Pre-Model Using Stan | create_stan_model_string |
| Perform the Fisher Z Transformation | fisher_z_transform |
| Generate updated validity coefficient using Fisher Z Transformation | generate_coefficient |
| Model the Data with Multivariate Adjustment | multivariate_model |
| Pipeline used for running a model start to finish. | pipeline |
| Custom Function to Use Patchwork | plot_a_list |
| Diagnostics for Models | plot_covariates |
| Run a sensitivity analysis on the error adjustment | sensitivity_analysis |
| Standardize the data of 1-D vector | standardize_with_return |
| Create Traceplots for the Parameters | traceplots |
