Type: Package
Package: missalpha
Title: Find Range of Cronbach Alpha with a Dataset Including Missing
        Data
Version: 0.2.0
Authors@R: c(
    person("Feng", "Ji", email = "f.ji@utoronto.ca", role = c("aut")),
    person("Biying", "Zhou", email = "biying.zhou@psu.edu", role = c("aut","cre")))
Maintainer: Biying Zhou <biying.zhou@psu.edu>
Description: Provides functions to calculate the minimum and maximum possible 
    values of Cronbach's alpha when item-level missing data are present. 
    Cronbach's alpha (Cronbach, 1951 <doi:10.1007/BF02310555>) is one of the most widely used 
    measures of internal consistency in the social, behavioral, and medical sciences 
    (Bland & Altman, 1997 <doi:10.1136/bmj.314.7080.572>; Tavakol & Dennick, 2011 
    <doi:10.5116/ijme.4dfb.8dfd>). However, conventional implementations assume 
    complete data, and listwise deletion is often applied when missingness occurs, 
    which can lead to biased or overly optimistic reliability estimates (Enders, 2003 
    <doi:10.1037/1082-989X.8.3.322>). This package implements computational strategies 
    including enumeration, Monte Carlo sampling, and optimization algorithms 
    (e.g., Genetic Algorithm, Differential Evolution, Sequential Least Squares 
    Programming) to obtain sharp lower and upper bounds of Cronbach's alpha under 
    arbitrary missing data patterns. The approach is motivated by Manski's partial 
    identification framework and pessimistic bounding ideas from optimization literature.
License: MIT + file LICENSE
Depends: R (>= 3.1.0),
Imports: GA, DEoptim, nloptr, stats,
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-29 14:45:50 UTC; zby15
Author: Feng Ji [aut],
  Biying Zhou [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-29 15:10:02 UTC
Built: R 4.6.0; ; 2026-04-27 10:57:09 UTC; unix
