sirt: Supplementary Item Response Theory Models
Supplementary functions for item response models aiming
to complement existing R packages. The functionality includes among others
multidimensional compensatory and noncompensatory IRT models
(Reckase, 2009, <doi:10.1007/978-0-387-89976-3>),
MCMC for hierarchical IRT models and testlet models
(Fox, 2010, <doi:10.1007/978-1-4419-0742-4>),
NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>),
Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>;
Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>),
faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011,
<doi:10.1111/j.1745-3984.2011.00143.x>),
ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>),
DETECT statistic (Stout, Habing, Douglas & Kim, 1996,
<doi:10.1177/014662169602000403>), local structural equation modeling
(LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016,
<doi:10.1080/00273171.2016.1142856>).
| Version: |
3.9-4 |
| Depends: |
R (≥ 3.1) |
| Imports: |
CDM, graphics, methods, Rcpp, stats, TAM, utils |
| LinkingTo: |
pbv, Rcpp, RcppArmadillo |
| Suggests: |
coda, igraph, lavaan, lavaan.survey, MASS, Matrix, miceadds, mirt, mvtnorm, pbivnorm, pbv, psych, sfsmisc, sm, survey |
| Enhances: |
immer |
| Published: |
2020-02-17 |
| Author: |
Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>) |
| Maintainer: |
Alexander Robitzsch <robitzsch at ipn.uni-kiel.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/alexanderrobitzsch/sirt,
https://sites.google.com/site/alexanderrobitzsch2/software |
| NeedsCompilation: |
yes |
| Citation: |
sirt citation info |
| Materials: |
README NEWS |
| In views: |
Psychometrics |
| CRAN checks: |
sirt results |
Downloads:
Reverse dependencies:
| Reverse depends: |
subscore |
| Reverse imports: |
discnorm, immer, LAM, mdmb, STARTS |
| Reverse suggests: |
bisect, CDM, dextergui, dscore, LSAmitR, miceadds, mirt, TAM |
| Reverse enhances: |
mnlfa |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=sirt
to link to this page.