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A Game for Human vs. Human or Human vs. AI
A game for two players: Who gets first four in a row (horizontal, vertical or diagonal) wins. As board game published by Milton Bradley, designed by Howard Wexler and Ned Strongin.
Fast Gaussian Process Computation Using Vecchia's Approximation
Functions for fitting and doing predictions with
Gaussian process models using Vecchia's (1988) approximation.
Package also includes functions for reordering input locations,
finding ordered nearest neighbors (with help from 'FNN' package),
grouping operations, and conditional simulations.
Covariance functions for spatial and spatial-temporal data
on Euclidean domains and spheres are provided. The original
approximation is due to Vecchia (1988)
< http://www.jstor.org/stable/2345768>, and the reordering and
grouping methods are from Guinness (2018)
Optimally Robust Estimation
R infrastructure for optimally robust estimation in general smoothly
parameterized models using S4 classes and methods as described Kohl, M.,
Ruckdeschel, P., and Rieder, H. (2010),
Statistical Inference of Vine Copulas
Provides tools for the statistical analysis of regular vine copula
models, see Aas et al. (2009)
Optimally Robust Influence Curves and Estimators for Location and Scale
Functions for the determination of optimally robust influence curves and estimators in case of normal location and/or scale (see Chapter 8 in Kohl (2005) < https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).
Interactive 'tourr' Using 'python'
Extends the functionality of the 'tourr' package by an interactive
graphical user interface. The interactivity allows users to
effortlessly refine their 'tourr' results by manual intervention,
which allows for integration of expert knowledge and aids the
interpretation of results. For more information on 'tourr' see
Wickham et. al (2011)
Descriptive Statistics
Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985),
Inferential Statistics
Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997),
Metabolomics Data Analysis Functions
A collection of functions for processing and analyzing metabolite data.
The namesake function mrbin() converts 1D
or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and
performs basic processing steps in a reproducible way. Negative values, a
common issue in such data, can be replaced by positive values (
JIRA REST API Wrapper for R
Allows to interact with the 'JIRA SERVER REST API' to analyze the retrieved data in R. For further information about the API visit < https://docs.atlassian.com/software/jira/docs/api/REST/8.9.1/>.