Man pages for MLMusingR
Practical Multilevel Modeling
| cdata.ex | Clustered dataset for centering example |
| engage | Student engagement dataset (complete data). |
| engage.miss | Student engagement dataset (with missing data). |
| glance.CR2 | Glance at goodness-of-fit statistics |
| group_center | Group-mean center a variable |
| group_mean | Computes the group mean of a variable |
| hdp | Hospital, doctor, patient (hdp) dataset |
| Htest | Test for homoskedasticity at level one |
| MatSqrtInverse | Compute the inverse square root of a matrix |
| nmiss | Amount of missing data per variable |
| pipe | Pipe operator |
| ri_test1 | Sample dataset 1 for testing the likelihood ratio test |
| ri_test2 | Sample dataset 2 for testing the likelihood ratio test (LRT) |
| robust_mixed | Cluster robust standard errors with degrees of freedom... |
| satdf | Compute Satterthwaite degrees of freedom |
| sch29 | Data from 29 schools (based on the NELS dataset) used for... |
| suspend | Suspension data from Virginia |
| thai | Thai data from PISA |
| thai.sm | Thai data from PISA (reduced) |
| tidy.CR2 | Tidy a CR2 object |
| wide | Wide dataset to be used for growth modeling |
