Package: qgcompint 0.7.0
qgcompint: Quantile G-Computation Extensions for Effect Measure Modification
G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. Effect measure modification in this method is a way to assess how the effect of the mixture varies by a binary, categorical or continuous variable. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Authors:
qgcompint_0.7.0.tar.gz
qgcompint_0.7.0.zip(r-4.5)qgcompint_0.7.0.zip(r-4.4)qgcompint_0.7.0.zip(r-4.3)
qgcompint_0.7.0.tgz(r-4.4-any)qgcompint_0.7.0.tgz(r-4.3-any)
qgcompint_0.7.0.tar.gz(r-4.5-noble)qgcompint_0.7.0.tar.gz(r-4.4-noble)
qgcompint_0.7.0.tgz(r-4.4-emscripten)qgcompint_0.7.0.tgz(r-4.3-emscripten)
qgcompint.pdf |qgcompint.html✨
qgcompint/json (API)
NEWS
# Install 'qgcompint' in R: |
install.packages('qgcompint', repos = c('https://alexpkeil1.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexpkeil1/qgcomp/issues
Last updated 3 years agofrom:df2a145e7b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:getjointeffectsgetstrateffectsgetstratweightsmodelboundpointwiseboundqgcomp.emm.bootqgcomp.emm.cox.nobootqgcomp.emm.nobootsimdata_quantized_emm
Dependencies:abindarmbootclicodacodetoolscolorspacedigestfansifarverfuturefuture.applygenericsggplot2globalsgluegridExtragtableisobandlabelinglatticelifecyclelistenvlme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrnnetnumDerivparallellypillarpkgconfigpsclqgcompR6RColorBrewerRcppRcppEigenrlangrootSolvescalessurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate joint effect of mixture effect and modifier vs. common referent | getjointeffects |
Calculate mixture effect at a set value of effect measure modifier | getstrateffects |
Calculate weights at a set value of effect measure modifier | getstratweights |
Estimating qgcomp regression line confidence bounds | modelbound |
Default plotting method for a qgcompfit object | plot.qgcompemmfit |
Estimating pointwise comparisons for qgcompint fits | pointwisebound |
Default printing method for a qgcompemmfit object | print.qgcompemmfit |
EMM for Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity | qgcomp.emm.boot |
EMM for Quantile g-computation with survival outcomes under linearity/additivity | qgcomp.emm.cox.noboot |
EMM for Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity | qgcomp.emm.noboot |
Simulate quantized exposures for testing methods | simdata_quantized_emm |