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 956 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 43 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 13,102 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! 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.