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Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters when outcome is missing not at random (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>; and (ii) double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding introduced in Genbaeck, M., de Luna, X. (2018) <doi:10.1111/biom.13001>.

Type Size Name Uploaded Downloads Labels
conda 158.4 kB | noarch/r-ui-0.1.1-r43h142f84f_0.tar.bz2  1 year and 1 month ago 20 main
conda 159.1 kB | noarch/r-ui-0.1.1-r42h142f84f_0.tar.bz2  2 years and 7 months ago 49 main
conda 159.2 kB | noarch/r-ui-0.1.0-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 203 main

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