Datasets to Accompany Wolfe and Schneider - Intuitive
Introductory Statistics
These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN:  978-3-319-56070-0) <http://www.springer.com/us/book/9783319560700>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.

Modeling Within Individual Variability as Predictor
c(person(given="Lijuan", family="Wang", role = c("aut","cph")), person(given="Xiao", family="Liu", role = c("aut", "cre","cph"), email = "xliu19@nd.edu"), person(given="Miao", family="Yang", role = c("aut","cph")))
Time parceling method and Bayesian variability modeling methods for modeling within individual variability indicators as predictors.For more details, see <https://github.com/xliu12/IIVpredicitor>.
Lijuan Wang [aut, cph],
Xiao Liu [aut, cre, cph],
Miao Yang [aut, cph]

c(
person("Miguel","Flores",role=c("aut","cre"), email="ma.flores@outlook.com"),
person("Salvador","Naya",role="ctb"),
person("Javier","Tarrio-Saavedra",role="ctb"),
person("Ruben","Fernandez",role="ctb"),
person("Rubi","Arias",role="ctb")
)
R (>= 3.1.0), multcomp, depthTools, fda.usc, MASS
It performs interlaboratory studies (ILS) to detect those laboratories that provide non-consistent results when comparing to others.
It permits to work simultaneously with various testing materials, from standard univariate, and functional data analysis (FDA) perspectives.
The univariate approach based on ASTM E691-08 consist of estimating the Mandel's h and k statistics to identify those laboratories
that provide more significant different results, testing also the presence of outliers by Cochran and Grubbs tests, Analysis of variance (ANOVA)
techniques are provided (F and Tuckey tests) to test differences in means corresponding to different laboratories per each material.
Taking into account the functional nature of data retrieved in analytical chemistry, applied physics and engineering (spectra, thermograms, etc.).
ILS package provides a FDA approach for finding the Mandel's k and h statistics distribution by smoothing bootstrap resampling.
Miguel Flores [aut, cre],
Salvador Naya [ctb],
Javier Tarrio-Saavedra [ctb],
Ruben Fernandez [ctb],
Rubi Arias [ctb]