The package SGPmatrices contains baseline coefficient matrices derived from SGP analyses of large scale state assessment data. The baseline matrices are utilized by functions within the SGP package to calculate baseline SGPs as well as baseline referenced projections. The package is under active development by staff at the Center for Assessment.
The baseline coefficient matrices embedded in SGPmatrices are updated periodically. Current contents include:
- AZ_Baseline_Matrices: Contains 2021 baseline matrices for Arizona AzM2.
- CO_Baseline_Matrices: Contains 2021 baseline matrices for Colorado CMAS.
- HI_Baseline_Matrices: Contains 2021 baseline matrices for Hawaii SBA.
- IN_Baseline_Matrices: Contains 2021 baseline matrices for Indiana ILEARN/ISTEP+.
- MA_Baseline_Matrices: Contains 2021 baseline matrices for Massachusetts MCAS 2.0/PARCC.
- MI_Baseline_Matrices: Contains 2021 baseline matrices for Michigan MSTEP/PSAT/SAT.
- NH_Baseline_Matrices: Contains 2021 baseline matrices for New Hampshire SAS.
- RI_Baseline_Matrices: Contains 2021 baseline matrices for Rhode Island RICAS/PARCC.
- WIDA_Baseline_Matrices: Contains 2021 baseline matrices for multiple WIDA members.
- WIDA_CO_Baseline_Matrices: Contains 2021 baseline matrices for Colorado WIDA-ACCESS.
- WIDA_HI_Baseline_Matrices: Contains 2021 baseline matrices for Hawaii WIDA-ACCESS.
- WIDA_IN_Baseline_Matrices: Contains 2021 baseline matrices for Indiana WIDA-ACCESS.
- WIDA_MA_Baseline_Matrices: Contains 2021 baseline matrices for Massachusetts WIDA-ACCESS.
- WIDA_NH_Baseline_Matrices: Contains 2021 baseline matrices for New Hampshire WIDA-ACCESS.
- WIDA_RI_Baseline_Matrices: Contains 2021 baseline matrices for Rhode Island WIDA-ACCESS.
To install the latest stable release of SGPmatrices from CRAN (Currently not yet posted to CRAN)
> install.packages("SGPmatrices")
To install the development release of SGPmatrices from GitHub:
> devtools::install_github("CenterForAssessment/SGPmatrices")
To use SGPmatrices please follow the directions in the vignette
The SGPmatrices Package is crafted with ❤️ by:
We love feedback and are happy to answer questions or support requests for additional features to the package.