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ucimlrepo r package stats author search and tutorials

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This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. 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; . How to cite: Alexander Keil (2019). qgcomp: Quantile G-Computation. R package version 2.18.7, https://cran.r-project.org/web/packages/qgcomp. Accessed 05 Apr. 2026.

Previous versions and publish date: 1.0.0 (2019-03-02 19:20), 1.1.0 (2019-07-13 20:40), 1.2.0 (2019-11-12 07:20), 1.3.0 (2019-12-11 19:20), 2.0.0 (2020-01-17 00:10), 2.1.2 (2020-01-31 16:10), 2.2.2 (2020-03-02 00:00), 2.3.0 (2020-04-08 07:50), 2.4.0 (2020-07-01 14:00), 2.5.0 (2020-09-09 23:10), 2.6.0 (2020-10-06 07:10), 2.7.0 (2021-01-26 23:10), 2.8.0 (2021-07-16 07:30), 2.8.5 (2021-12-12 18:20), 2.8.6 (2022-01-24 16:12), 2.9.0 (2022-10-13 10:30), 2.10.1 (2022-12-07 22:20), 2.15.2 (2023-08-10 11:10), 2.16.4 (2025-01-22 07:40), 2.17.4 (2025-02-23 20:50), 2.18.4 (2025-03-28 06:50), 2.18.7 (2025-08-20 22:40) Other packages that cited qgcomp R package View qgcomp citation profile Other R packages that qgcomp depends, imports, suggests or enhances Complete documentation for qgcomp Functions, R codes and Examples using the qgcomp R package Some associated functions: checknames .

coxmsm_fit . glance.qgcompfit . homogeneity_test . homogeneity_test.qgcompmultfit . hurdlemsm_fit.control . hurdlemsm_fit . joint_test . joint_test.qgcompmultfit . metals . mice.impute.leftcenslognorm . modelbound.boot . msm.predict . msm_fit . msm_multinomial_fit . plot.qgcompfit . pointwisebound.boot . pointwisebound.noboot . predict.qgcompfit . print.qgcompfit . qgcomp.cch.noboot . qgcomp.cox.boot . qgcomp.cox.noboot . qgcomp.glm.boot . qgcomp.glm.noboot . qgcomp.hurdle.boot . qgcomp.hurdle.noboot . qgcomp.multinomial.boot . qgcomp.multinomial.noboot . qgcomp . qgcomp.partials . qgcomp.survcurve.boot . qgcomp.zi.boot . qgcomp.zi.noboot . quantize . se_comb . simdata_quantized . split_data . summary.qgcompmultfit . tidy.qgcompfit . vc_comb . zimsm_fit.control . zimsm_fit . Some associated R codes: base.R .

base_bounds.R . base_experimental.R . base_extensions.R . base_generics.R . base_hurdle.R . base_multinomial.R . base_plots.R . base_samplesplits.R . base_simhelpers.R . base_surv.R . base_utility.R . base_zi.R . data.R . Full qgcomp package functions and examples Downloads during the last 30 days Today's Hot Picks in Authors and Packages KENDL Calculate the kernel-smoothed nonparametric estimator for the exposure distribution in presence of d ...

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R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which...

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This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A ...

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This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A ...

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This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A ...

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Previous versions and publish date: 1.0.0 (2019-03-02 19:20), 1.1.0 (2019-07-13 20:40), 1.2.0 (2019-11-12 07:20), 1.3.0 (2019-12-11 19:20), 2.0.0 (2020-01-17 00:10), 2.1.2 (2020-01-31 16:10), 2.2.2 (2020-03-02 00:00), 2.3.0 (2020-04-08 07:50), 2.4.0 (2020-07-01 14:00), 2.5.0 (2020-09-09 23:10), 2.6.0 (2020-10-06 07:10), 2.7.0 (2021-01-26 23:10), 2.8.0 (2021-07-16 07:30), 2.8.5 (2021-12-12 18:20), ...