What are some statistical software packages that support the use of auxiliary variables? How do you document the use of auxiliary variables in research reports?

Abstract. We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise ... Slice sampling¶ ... The auxiliary y variable allows us to sample (x,y) points that are in the region under the graph of the target distribution. Only the x ... Dec 5, 2012 ... The inclusion of auxiliary variables can improve a multiple imputation model. However, inclusion of too many variables leads to downward bias of ... Analyzing People's Media Use Behaviors Using Mail Survey Method Zhang, Xiaoqun January 3, 2018 Case Studies of Research: Small & Medium Sized Enterprises Auxiliary variables are variables introduced into a model, either because it is difficult to express the constraints at all in terms of the existing variables, ... The new auxiliary datasets contain data derived from the regular FARS/GES variables using NCSA analyti- cal data classifications. These classifications are ... Extensions of auxiliary variable approaches for the investigation of mediation, moderation, and conditional effects in mixture models. Citation. McLarnon ... Aug 7, 2024 ... auxiliary variables are used for a calibration adjustment. ... variable with missing values is modeled conditionally upon the other variables ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Different sorts of auxiliary variables variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of ...