| Name : R-IRTBEMM
| |
| Version : 1.0.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:02:03
|
| Group : Development/Libraries/Other
| Source RPM : R-IRTBEMM-1.0.8-lp153.1.5.src.rpm
|
| Size : 0.20 MB
| |
| Packager : (none)
| |
| Summary : Family of Bayesian EMM Algorithm for Item Response Models
|
Description :
Applying the family of the Bayesian
Expectation-Maximization-Maximization (BEMM) algorithm to estimate: (1)
Three parameter logistic (3PL) model proposed by Birnbaum (1968,
ISBN:9780201043105); (2) four parameter logistic (4PL) model proposed
by Barton & Lord (1981) < doi:10.1002/j.2333-8504.1981.tb01255.x> (3)
one parameter logistic guessing (1PLG) and (4) one parameter logistic
ability-based guessing (1PLAG) models proposed by San MartÃn et al
(2006) < doi:10.1177/0146621605282773>. The BEMM family includes (1) the
BEMM algorithm for 3PL model proposed by Guo & Zheng (2019)
< doi:10.3389/fpsyg.2019.01175> (2) the BEMM algorithm for 1PLG model
and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng,
& Chen (2021) < doi:10.1177/0146621621990761> (4) the BEMM algorithm
for 4PL model proposed by Zheng, Guo, & Kern (2021)
< doi:10.1177/21582440211052556> and (5) their maximum likelihood
estimation versions proposed by Zheng, Meng, Guo, & Liu (2018)
< doi:10.3389/fpsyg.2017.02302>. Thus, both Bayesian modal estimates and
maximum likelihood estimates are available.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
