Apps and Data for the Book "Introduction to Statistics"
person("Sigbert", "Klinke", email="sigbert@hu-berlin.de", role=c("aut", "cre"))
Functions, Shiny apps and data for the book "Introduction to Statistics" by
Wolfgang Karl Härdle, Sigbert Klinke, and Bernd Rönz (2015) <doi:10.1007/978-3-319-17704-5>.
MASS, shiny, shinydashboard, shinyWidgets, shinydashboardPlus,
scatterplot3d

MASS, shiny, shinydashboard, shinyWidgets, shinydashboardPlus,
DT, highlight, formatR, scatterplot3d

Methods to make inference about the Hurst-Kolmogorov and the AR(1) process.

c(
person(given = "Hristos",
family = "Tyralis",
role = c("aut", "cre"),
email = "montchrister@gmail.com",
comment = c(ORCID = "0000-0002-8932-4997"))
)
Methods to make inference about the Hurst-Kolmogorov (fractional Gaussian
noise, fGn) and the AR(1) process. Related time series trend tests are also
included.
Hristos Tyralis [aut, cre] (<https://orcid.org/0000-0002-8932-4997>)

Diagnostic tools for two-level normal hierarchical linear models
A suite of diagnostic tools for two-level normal
hierarchical linear models. The package offers not only
traditional case-deletion diagnostics (Cook's distance,
covratio, covtrace, and MDFFITS) but also provides graphics for
residual analysis. Currently, case deletion is performed by
iteratively refitting the model using lmer in the lme4 package,
so for data sets with many groups, computation is currently
slow.
'case_level_residual_functions.R' 'case.delete_function.R'
'diagnostic_functions.R' 'group_estimates.R'
'group_level_residual_functions.R' 'identification.R'
'plot_functions.R' 'quantile_functions.R'

A suite of diagnostic tools for two-level
normal hierarchical linear models. The package offers
not only traditional case-deletion diagnostics (Cook's
distance, covratio, covtrace, and MDFFITS) but also
provides graphics for residual analysis. Currently,
case deletion is performed by iteratively refitting the
model using lmer in the lme4 package, so for data sets
with many groups, computation is currently slow.
'diagnostic_functions.R' 'group_level_residual_functions.R'
'identification.R' 'plot_functions.R' 'quantile_functions.R'
'adjust_formula_lmList.R' 'case_delete.R' 'LSresids.R'