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cma2020
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The Dataset cma2020 |
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cmdag()
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DAG Visualization |
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cmest() print(<cmest>) summary(<cmest>) print(<summary.cmest>)
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Causal Mediation Analysis |
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cmsens() print(<cmsens.uc>) print(<cmsens.me>) summary(<cmsens.me>) print(<summary.cmsens.me>)
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Sensitivity Analysis For Unmeasured Confounding and Measurement Error |
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ggcmest()
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Plotting Point Estimates and Confidence Intervals of Causal Effects |
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ggcmsens()
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Plotting Results of Sensitivity Analysis for Measurement Error |
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rcreg() coef(<rcreg>) vcov(<rcreg>) sigma(<rcreg>) formula(<rcreg>) family(<rcreg>) predict(<rcreg>) model.frame(<rcreg>) print(<rcreg>) summary(<rcreg>) print(<summary.rcreg>) update(<rcreg>)
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Regression Calibration for Measurement Error Correction |
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simexreg() coef(<simexreg>) vcov(<simexreg>) sigma(<simexreg>) formula(<simexreg>) family(<simexreg>) predict(<simexreg>) model.frame(<simexreg>) print(<simexreg>) summary(<simexreg>) print(<summary.simexreg>) update(<simexreg>)
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Simulation and Extrapolation for Measurement Error Correction |
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svymultinom() coef(<svymultinom>) vcov(<svymultinom>) formula(<svymultinom>) predict(<svymultinom>) model.frame(<svymultinom>) print(<svymultinom>) summary(<svymultinom>) print(<summary.svymultinom>) update(<svymultinom>)
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Multinomial Regression with Survey Data |