Package: tipr 1.0.2.9000
tipr: Tipping Point Analyses
The strength of evidence provided by epidemiological and observational studies is inherently limited by the potential for unmeasured confounding. We focus on three key quantities: the observed bound of the confidence interval closest to the null, the relationship between an unmeasured confounder and the outcome, for example a plausible residual effect size for an unmeasured continuous or binary confounder, and the relationship between an unmeasured confounder and the exposure, for example a realistic mean difference or prevalence difference for this hypothetical confounder between exposure groups. Building on the methods put forth by Cornfield et al. (1959), Bross (1966), Schlesselman (1978), Rosenbaum & Rubin (1983), Lin et al. (1998), Lash et al. (2009), Rosenbaum (1986), Cinelli & Hazlett (2020), VanderWeele & Ding (2017), and Ding & VanderWeele (2016), we can use these quantities to assess how an unmeasured confounder may tip our result to insignificance.
Authors:
tipr_1.0.2.9000.tar.gz
tipr_1.0.2.9000.zip(r-4.5)tipr_1.0.2.9000.zip(r-4.4)tipr_1.0.2.9000.zip(r-4.3)
tipr_1.0.2.9000.tgz(r-4.4-any)tipr_1.0.2.9000.tgz(r-4.3-any)
tipr_1.0.2.9000.tar.gz(r-4.5-noble)tipr_1.0.2.9000.tar.gz(r-4.4-noble)
tipr_1.0.2.9000.tgz(r-4.4-emscripten)tipr_1.0.2.9000.tgz(r-4.3-emscripten)
tipr.pdf |tipr.html✨
tipr/json (API)
NEWS
# Install 'tipr' in R: |
install.packages('tipr', repos = c('https://r-causal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-causal/tipr/issues
- exdata_continuous - Example Data
- exdata_rr - Example Data
Last updated 10 months agofrom:ba218310fe. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | OK | Nov 18 2024 |
R-4.5-linux | OK | Nov 18 2024 |
R-4.4-win | OK | Nov 18 2024 |
R-4.4-mac | OK | Nov 18 2024 |
R-4.3-win | OK | Nov 18 2024 |
R-4.3-mac | OK | Nov 18 2024 |
Exports:%>%adjust_coefadjust_coef_with_binaryadjust_coef_with_continuousadjust_coef_with_r2adjust_hradjust_hr_with_binaryadjust_hr_with_continuousadjust_oradjust_or_with_binaryadjust_or_with_continuousadjust_rradjust_rr_with_binaryadjust_rr_with_continuouse_valueobserved_bias_orderobserved_bias_tblobserved_bias_tipobserved_covariate_e_valuer_valuetiptip_btip_ctip_coeftip_coef_with_continuoustip_coef_with_r2tip_hrtip_hr_with_binarytip_hr_with_continuoustip_ortip_or_with_binarytip_or_with_continuoustip_rrtip_rr_with_continuoustip_with_binarytip_with_continuous
Dependencies:clifansigluelifecyclemagrittrpillarpkgconfigpurrrrlangsensemakrtibbleutf8vctrs