myinv
(Package: iWeigReg) :
Inverse of a matrix
This function returns the inverse or generalized inverse of a matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: myinv
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mn.reg
(Package: iWeigReg) :
Non-calibrated regression estimator for the missing-data setup
This function implements the non-calibrated (or non-doubly robust) likelihood estimator of the mean outcome in the presence of missing data.
● Data Source:
CranContrib
● Keywords: Missing data
● Alias: mn.reg
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mn.lik
(Package: iWeigReg) :
Non-calibrated likelihood estimator for the missing-data setup
This function implements the non-calibrated (or non-doubly robust) likelihood estimator of the mean outcome in the presence of missing data in Tan (2006), JASA.
● Data Source:
CranContrib
● Keywords: Missing data
● Alias: mn.lik
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mn.creg
(Package: iWeigReg) :
Calibrated regression estimator for the missing-data setup
This function implements the calibrated (or doubly robust) likelihood estimator of the mean outcome in the presence of missing data in Tan (2006), JASA.
● Data Source:
CranContrib
● Keywords: Missing data
● Alias: mn.creg
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0 images
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mn.clik
(Package: iWeigReg) :
Calibrated likelihood estimator for the missing-data setup
This function implements the calibrated (or doubly robust) likelihood estimator of the mean outcome in the presence of missing data in Tan (2010), Biometrika.
● Data Source:
CranContrib
● Keywords: Missing data
● Alias: mn.clik
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0 images
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mn.HT
(Package: iWeigReg) :
Horvitz-Thompson estimator for the missing-data setup
This function implements the Horvitz-Thompson estimator of the mean outcome in the presence of missing data.
● Data Source:
CranContrib
● Keywords: Missing data
● Alias: mn.HT
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0 images
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loglik.g
(Package: iWeigReg) :
The calibrated objective function ("log-likelihood")
This function computes the objective function, its gradient and its Hessian matrix for the calibrated likelihood estimator in Tan (2010), Biometrika.
● Data Source:
CranContrib
● Keywords:
● Alias: loglik.g
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loglik
(Package: iWeigReg) :
The non-calibrated objective function ("log-likelihood")
This function computes the objective function, its gradient and its Hessian matrix for the non-calibrated likelihood estimator in Tan (2006), JASA.
● Data Source:
CranContrib
● Keywords:
● Alias: loglik
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Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.
● Data Source:
CranContrib
● Keywords: iWeigReg
● Alias: iWeigReg, iWeigReg-package
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histw
(Package: iWeigReg) :
Weighted histogram
This function plots a weighted histogram.
● Data Source:
CranContrib
● Keywords: Causal inference, Missing data
● Alias: histw
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