May 29, 2024 · Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included.

Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included.

Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included.

BIFIE.data: Creates an Object of Class BIFIEdata Description This function creates an object of class BIFIEdata. Finite sampling correction of statistical inferences can be conducted by specifying appropriate input in the fayfac argument. Usage BIFIE.data(data.list, wgt=NULL, wgtrep=NULL, fayfac=1, pv_vars=NULL, pvpre=NULL, cdata=FALSE, NMI=FALSE)

Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included.

Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included.

The BIFIEsurvey package include basic descriptive functions for large scale assessment data to complement the more comprehensive survey package. The functions in this package were written in Rcpp. The features of BIFIEsurvey include for designs with replicate weights (which includes Jackknife and Bootstrap as general approaches):

May 29, 2024 · The official version of BIFIEsurvey is hosted on CRAN and may be found here. The CRAN version can be installed from within R using: The version hosted here is the development version of BIFIEsurvey. The GitHub version can be installed using devtools as: Any scripts or data that you put into this service are public.

R: Tools for Survey Statistics in Educational AssessmentDESCRIPTION file. Package NEWS.

Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included.