mdmb

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 (Ibrahim et al., 2005; doi:10.1198/016214504000001844; Luedtke, Robitzsch, & West, 2020a, 2020b; doi:10.1080/00273171.2019.1640104doi:10.1037/met0000233). The regression model can be nonlinear (e.g., interaction effects, quadratic effects or B-spline functions). Multilevel models with missing data in predictors are available for Bayesian estimation. Substantive-model compatible multiple imputation can be also conducted.

Last 30 days

This package has been downloaded 996 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 28 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 13,130 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Jul 16, 2024 with 116 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.