Package: cNORM
Type: Package
Title: Continuous Norming
Version: 1.0.1
Author: Wolfgang Lenhard [cre, aut] (<https://orcid.org/0000-0002-8184-6889>),
  Alexandra Lenhard [aut],
  Sebastian Gary [ctb]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>
Date: 2018-10-24
Authors@R: c(person("Wolfgang", "Lenhard", role = c("cre","aut"), email="wolfgang.lenhard@uni-wuerzburg.de", comment=c(ORCID  = "0000-0002-8184-6889")), person("Alexandra", "Lenhard", role=c("aut")), person("Sebastian", "Gary", role=c("ctb")))
Description: Conventional methods for producing standard scores in psychometrics or biometrics are often plagued 
    with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. 
    The continuous norming method introduced by A. Lenhard et al. (2016), <doi:10.1177/1073191116656437>,  generates 
    continuous test norm scores on the basis of the raw data from standardization samples, 
    without requiring assumptions about the distribution of the raw data: Norm scores are directly established
    from raw data by modeling the latter ones as a function of both percentile scores and an explanatory
    variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while 
    handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost
    all of the variance in the original norm data sample.
Depends: R (>= 3.1.0)
Imports: lattice (>= 0.20), leaps (>= 3.0.0), latticeExtra (>= 0.6)
Suggests: knitr, rmarkdown, shiny, shinycssloaders, foreign, readxl
License: AGPL-3
VignetteBuilder: knitr
RoxygenNote: 6.1.0
NeedsCompilation: no
Repository: CRAN
Encoding: UTF-8
LazyData: true
URL: https://www.psychometrica.de/cNorm_en.html,
        https://github.com/WLenhard/cNORM
BugReports: https://github.com/WLenhard/cNORM/issues
Packaged: 2018-11-02 19:51:43 UTC; gbpa005
Date/Publication: 2018-11-14 10:20:10 UTC
