Package: MECfda 0.1.0
MECfda: Scalar-on-Function Regression with Measurement Error Correction
Solve scalar-on-function linear models, including generalized linear mixed effect model and quantile linear regression model, and bias correction estimation methods due to measurement error. Details about the measurement error bias correction methods, see Luan et al. (2023) <doi:10.48550/arXiv.2305.12624>, Tekwe et al. (2022) <doi:10.1093/biostatistics/kxac017>, Zhang et al. (2023) <doi:10.5705/ss.202021.0246>, Tekwe et al. (2019) <doi:10.1002/sim.8179>.
Authors:
MECfda_0.1.0.tar.gz
MECfda_0.1.0.tar.gz(r-4.5-noble)MECfda_0.1.0.tar.gz(r-4.4-noble)
MECfda_0.1.0.tgz(r-4.4-emscripten)MECfda_0.1.0.tgz(r-4.3-emscripten)
MECfda.pdf |MECfda.html✨
MECfda/json (API)
# Install 'MECfda' in R: |
install.packages('MECfda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- MECfda.data.sim.0.0 - Simulated data
- MECfda.data.sim.0.1 - Simulated data
- MECfda.data.sim.0.2 - Simulated data
- MECfda.data.sim.0.3 - Simulated data
- MECfda.data.sim.1.0 - Simulated data
- MECfda.data.sim.1.1 - Simulated data
- MECfda.data.sim.1.2 - Simulated data
- MECfda.data.sim.1.3 - Simulated data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 days agofrom:049a325981. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 22 2024 |
R-4.5-linux | OK | Oct 22 2024 |
Exports:%>%basis2funbspline_basisbspline_basis_expansionbspline_seriesbsplineSeries2funextractCoeffc.betafcQRfcRegressionfourier_basis_expansionFourier_seriesFourierSeries2funfunctional_variableME.fcLR_IVME.fcQR_CLSME.fcQR_IV.SIMEXME.fcRegression_MEMplot
Dependencies:ashbitopsbootcliclustercolorspacecorpcordeSolvedplyrfansifarverfdafdsFNNgenericsggplot2glmegluegssgtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagrittrMASSMatrixMatrixModelsmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrpcaPPpillarpkgconfigplyrpracmaquantregR6rainbowRColorBrewerRcppRcppEigenRCurlreshaperlangscalesSparseMstringistringrsurvivaltibbletidyselectutf8vctrsviridisLitewithr