devtools, forestinventory, JoSAE, knitr, microbenchmark,
nlme, pkgload, rmarkdown, rprojroot, rsae, RUnit, R.rsp, sae,
testthat

Tools for analyzing Micro Array experiments
Hao Wu <hao@jax.org>, with ideas from Gary Churchill, Katie Kerr and Xiangqin Cui
Analysis of N-dye Micro Array experiment using mixed model effect. Containing anlysis of variance, permutation and bootstrap, cluster and consensus tree.

Hao Wu, modified by Hyuna Yang and Keith Sheppard with ideas from Gary
Churchill, Katie Kerr and Xiangqin Cui.
Analysis of N-dye Micro Array experiment using mixed model
effect. Containing anlysis of variance, permutation and bootstrap, cluster and
consensus tree.

Hao Wu, modified by Hyuna Yang and Keith Sheppard with ideas
from Gary Churchill, Katie Kerr and Xiangqin Cui.
Analysis of N-dye Micro Array experiment using mixed model
effect. Containing anlysis of variance, permutation and
bootstrap, cluster and consensus tree.

Analysis of N-dye Micro Array experiment using mixed model
effect. Containing analysis of variance, permutation and
bootstrap, cluster and consensus tree.
Biobase, graphics, grDevices, methods, stats, utils

Hao Wu, with ideas from Gary Churchill, Katie Kerr and Xiangqin Cui

c(
person("Seung W.", "Choi",
email = "schoi@austin.utexas.edu",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-4777-5420")),
person("Sangdon", "Lim",
email = "sangdonlim@utexas.edu",
role = "aut",
comment = c(ORCID = "0000-0002-2988-014X")),
person("Luping", "Niu",
email = "lupingniu@utexas.edu",
role = "aut",
comment = c(ORCID = "0000-0003-3696-1180")),
person("Sooyong", "Lee",
email = "sooyongl09@utexas.edu",
role = "aut",
comment = c(ORCID = "0000-0002-7964-4508")),
person("M. Christina", "Schneider",
email = "christina.schneider@nwea.org",
role = "ctb"),
person("Jay", "Lee",
email = "jay.lee@nwea.org",
role = "ctb"),
person("Garron", "Gianopulos",
email = "garron.gianopulos@nwea.org",
role = "ctb"))
Provides an extension of the shadow-test approach to computerized adaptive
testing (CAT) implemented in the 'TestDesign' package for the assessment framework
involving multiple tests administered periodically throughout the year. This framework
is referred to as the Multiple Administrations Adaptive Testing (MAAT) and supports
multiple item pools vertically scaled and multiple phases (stages) of CAT within each test.
Between phases and tests, transitioning from one item pool (and associated constraints)
to another is allowed as deemed necessary to enhance the quality of measurement.
TestDesign (>= 1.2.0), readxl, Rdpack, methods, MASS, diagram
testthat (>= 3.0.0), rmarkdown, knitr, kableExtra
'import.R' 'module_class.R' 'module_functions.R'
'administered_functions.R' 'datasets.R' 'examinee_class.R'
'examinee_updaters.R' 'extensions.R'
'module_structure_operators.R' 'package.R' 'sim_functions.R'
'plot_functions.R' 'print_functions.R' 'prior_functions.R'
'routing_functions.R' 'show_functions.R'
Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>),
Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>),
Luping Niu [aut] (<https://orcid.org/0000-0003-3696-1180>),
Sooyong Lee [aut] (<https://orcid.org/0000-0002-7964-4508>),
M. Christina Schneider [ctb],
Jay Lee [ctb],
Garron Gianopulos [ctb]