Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation. The regression model can be nonlinear (e.g., including interaction or quadratic effects). Multiple imputation can be also conducted.
|Author||Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]|
|Date of publication||2018-02-16 11:10:29 UTC|
|Maintainer||Alexander Robitzsch <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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