Package: eivtools 0.1-8
J.R. Lockwood
eivtools: Measurement Error Modeling Tools
This includes functions for analysis with error-prone covariates, including deconvolution, latent regression and errors-in-variables regression. It implements methods by Rabe-Hesketh et al. (2003) <doi:10.1191/1471082x03st056oa>, Lockwood and McCaffrey (2014) <doi:10.3102/1076998613509405>, and Lockwood and McCaffrey (2017) <doi:10.1007/s11336-017-9556-y>, among others.
Authors:
eivtools_0.1-8.tar.gz
eivtools_0.1-8.tar.gz(r-4.5-noble)eivtools_0.1-8.tar.gz(r-4.4-noble)
eivtools_0.1-8.tgz(r-4.4-emscripten)eivtools_0.1-8.tgz(r-4.3-emscripten)
eivtools.pdf |eivtools.html✨
eivtools/json (API)
| # Install 'eivtools' in R: |
| install.packages('eivtools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- testscores - Example longitudinal test score data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:38fcead16e. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 01 2024 |
| R-4.5-linux | NOTE | Oct 01 2024 |
Exports:deconv_npmleeivregget_bugs_wishart_scalematlr_ancova
Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Nonparametric MLE deconvolution under heteroskedastic normal error | deconv_npmle |
| Errors-in-variables (EIV) linear regression | eivreg |
| Compute a BUGS-compliant scale matrix for a Wishart prior distribution for precision matrix that is consistent with target variances. | get_bugs_wishart_scalemat |
| Latent Regression for Group Effects with Latent Heteroskedastic Error Variance | lr_ancova |
| 'model.matrix' method for objects of class 'eivlm'. | model.matrix.eivlm |
| 'print' method for objects of class 'eivlm'. | print.eivlm |
| 'print' method for objects of class 'summary.eivlm'. | print.summary.eivlm |
| 'summary' method for objects of class 'eivlm'. | summary.eivlm |
| Example longitudinal test score data | testscores |
| 'vcov' method for objects of class 'eivlm'. | vcov.eivlm |
