Imports: Rcpp (>= 1.0.0), methods, Matrix, lpsymphony, foreach,
Suggests: Rsymphony, gurobi, lpSolve, Rglpk, shiny, shinythemes,

is not available from CRAN; see <https://www.gurobi.com/downloads/>. See vignette for installing 'Rsymphony' package
Imports: Rcpp (>= 1.0.0), methods, lpSolve, foreach, logitnorm, crayon
Suggests: lpsymphony, Rsymphony, gurobi, Rglpk, mirt, progress, shiny,
shinythemes, shinyWidgets, shinyjs, DT, knitr, rmarkdown,
kableExtra, testthat (>= 2.1.0), pkgdown
Collate: 'RcppExports.R' 'import.R' 'extensions.R' 'item_class.R'

kableExtra, testthat (>= 2.1.0), pkgdown, pkgload

is not available from CRAN; see <https://www.gurobi.com/downloads/>.

Description: Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and
van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests.
Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony',
'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.

Suggests: lpsymphony, Rsymphony, gurobi, Rglpk, mirt, mirtCAT,
progress, shiny, shinythemes, shinyWidgets, shinyjs, DT, knitr,
rmarkdown, kableExtra, testthat (>= 2.1.0), pkgdown, pkgload

Title: Analysis of the Interpopulation Degree of Sexual Dimorphism
comment = c("The authors would like to express their
endless gratitude to prof. Konigsberg for his contribution
to this package with authentic code used in the  multivariate
and extract_sum functions, datasets used in the examples and
for his overall valuable work in the field of physical anthropology
without which this package wouldn't have been possible")))
Maintainer: Bassam A. Abulnoor  <bas12@fayoum.edu.eg>
Description: Provides two approaches of comparison; the univariate and the multivariate analysis in two or more populations. Since the main obstacle of performing systematic comparisons in anthropological studies is the absence of raw data, the current package offer a solution for this problem by allowing the use of published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of  Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.
Lyle W. Konigsberg [ctb, dtc] (The authors would like to express their
endless gratitude to prof. Konigsberg for his contribution to this
package with authentic code used in the multivariate and
extract_sum functions, datasets used in the examples and for his
overall valuable work in the field of physical anthropology without
which this package wouldn't have been possible)