Multiple Imputation with Denoising Autoencoders
A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks. This algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when applied to large datasets with complex features. Alongside interfacing with 'Python' to run the core algorithm, this package contains functions for processing data before and after model training, running imputation model diagnostics, generating multiple completed datasets, and estimating regression models on these datasets.

Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
person("Chelsea", "Song", , "qianqisong@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0910-1281"))
Estimates Pareto-optimal solution for personnel selection
with 3 objectives using Normal Boundary Intersection (NBI) algorithm
introduced by Das and Dennis (1998) <doi:10.1137/S1052623496307510>.
Takes predictor intercorrelations and predictor-objective relations as
input and generates a series of solutions containing predictor weights
as output. Accepts between 3 and 10 selection predictors. Maximum 2
objectives could be adverse impact objectives. Partially modeled after
De Corte (2006) TROFSS Fortran program
<https://users.ugent.be/~wdecorte/trofss.pdf> and updated from
'ParetoR' package described in Song et al. (2017)
<doi:10.1037/apl0000240>. For details, see Song et al. (in press).

Importing Data from Loligo Systems Software, Calculating
Metabolic Rates, and Critical Tensions
Analysis of oxygen consumption data generated by Loligo (R) Systems respirometry equipment. The package includes a function for loading data output by Loligo's 'AutoResp' software (get.witrox.data()), functions for calculating metabolic rates over user-specified time intervals, extracting critical points from data using broken stick regressions based on Yeager and Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for converting between different units of barometric pressure.