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
doseSens_0.1.0.zip(r-4.5)doseSens_0.1.0.zip(r-4.4)doseSens_0.1.0.zip(r-4.3)
doseSens_0.1.0.tgz(r-4.4-any)doseSens_0.1.0.tgz(r-4.3-any)
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 2 months agofrom:b1d101ac9f. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | NOTE | Nov 01 2024 |
R-4.4-mac | NOTE | Nov 01 2024 |
R-4.3-win | NOTE | Nov 01 2024 |
R-4.3-mac | NOTE | Nov 01 2024 |
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