Description Usage Arguments Details Value See Also Examples

TODO: Need more details

1 2 |

`response` |
vector containing the response values |

`treatment` |
vector containing the treatment conditions |

`strata` |
vector containing the strata for each response |

`level2` |
vector containing the level 2 specifications |

`minN` |
the minimum number of subjects per strata for that strata to be included in the analysis. |

`reverse` |
reverse the order of treatment and control for the difference calculation. |

`ci.level` |
the confidence level to use for confidence intervals. Defaults to a 95% confidence level. |

The ci.adjust provides a Bonferroni-Sidak adjusted confidence intervals based on the number of levels/clusters.

a mlpsa class

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
## Not run:
require(multilevelPSA)
require(party)
data(pisana)
data(pisa.colnames)
data(pisa.psa.cols)
mlctree = mlpsa.ctree(pisana[,c('CNT','PUBPRIV',pisa.psa.cols)], formula=PUBPRIV ~ ., level2='CNT')
student.party = getStrata(mlctree, pisana, level2='CNT')
student.party$mathscore = apply(student.party[,paste0('PV', 1:5, 'MATH')], 1, sum) / 5
results.psa.math = mlpsa(response=student.party$mathscore,
treatment=student.party$PUBPRIV,
strata=student.party$strata,
level2=student.party$CNT, minN=5)
results.psa.math
summary(results.psa.math)
## End(Not run)
``` |

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