Package: doseSens 0.1.0
doseSens: Conduct Sensitivity Analysis with Continuous Exposures and Binary Outcomes
Performs sensitivity analysis for the sharp null and attributable effects in matched studies with continuous exposures and binary outcomes as described in Zhang, Small, Heng (2024) <arxiv:2401.06909>. Two of the functions require installation of the 'Gurobi' optimizer. Please see <https://www.gurobi.com/documentation/9.0/refman/ins_the_r_package.html> for guidance.
Authors:
doseSens_0.1.0.tar.gz
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doseSens_0.1.0.tar.gz(r-4.5-noble)doseSens_0.1.0.tar.gz(r-4.4-noble)
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doseSens.pdf |doseSens.html✨
doseSens/json (API)
# Install 'doseSens' in R: |
install.packages('doseSens', repos = c('https://jzhang1937.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jzhang1937/dosesens/issues
- treat_out_match - Matched lead dataset
Last updated 6 months agofrom:b1d101ac9f. Checks:4 OK, 5 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 31 2025 |
R-4.5-win | OK | Mar 31 2025 |
R-4.5-mac | OK | Mar 31 2025 |
R-4.5-linux | OK | Mar 31 2025 |
R-4.4-win | NOTE | Mar 31 2025 |
R-4.4-mac | NOTE | Mar 31 2025 |
R-4.4-linux | NOTE | Mar 31 2025 |
R-4.3-win | NOTE | Mar 31 2025 |
R-4.3-mac | NOTE | Mar 31 2025 |
Exports:apply_permutation_to_matrixbinary_thresh_attributeconstant_effects_testdev_TVdose_attributable_generaldose_sensitivity_mc_gendose_thresh_attributable_one_sidedextract_above_threshold_vs_baselineextract_below_threshold_vs_baselineextract_max_vs_baselineextract_min_vs_baselineextract_OLSextract_stochastic_interventionextract_threshold_effectextract_threshold_effect_functionmax_expectationmax_ratiomax_ratio_newmax_ratios_summarynormal_test_genprob_boundssharp_double_statisticsharp_null_double_testvar_estweak_null_test
Dependencies:clidplyrfansigenericsgluegtoolslifecyclelpSolvemagrittrnloptrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr