Title: Benchmark dose analysis for dose-response data
Description: Benchmark dose analysis for continuous and quantal dose-response data.
Packaged: Wed Jun  4 22:19:54 2008; ritz

Description: Benchmark dose analysis for continuous and quantal

Title: Mediation analysis with missing data using bootstrap
Description: Four methods for mediation analysis with missing data:
Listwise deletion, Pairwise deletion, Multiple imputation, and
Two Stage Maximum Likelihood algorithm. For MI and TS-ML,
auxiliary variables can be included. Bootstrap confidence
intervals for mediation effects are obtained.

Description: Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML.

intervals for mediation effects are obtained. The robust method

Depends: R (>= 1.7), Amelia, MASS, lavaan, sem
is also implemented for TS-ML. Since version 1.4, bmem adds the
capability to conduct power analysis for mediation models.

Depends: R (>= 1.7), Amelia, MASS, lavaan, sem, snowfall
Description: Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models.

Title: Mediation Analysis with Missing Data Using Bootstrap
Depends: R (>= 1.7), Amelia, MASS, snowfall

Description: Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang (2014) <doi:10.3758/s13428-013-0424-0>.