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Statistical Inference of Vine Copulas
Provides tools for the statistical analysis of regular vine copula
models, see Aas et al. (2009)
Descriptive Statistics
Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985),
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>).
Model-Based Boosting
Functional gradient descent algorithm
(boosting) for optimizing general risk functions utilizing
component-wise (penalised) least squares estimates or regression
trees as base-learners for fitting generalized linear, additive
and interaction models to potentially high-dimensional data.
Models and algorithms are described in
Optimally Robust Estimation
R infrastructure for optimally robust estimation in general smoothly
parameterized models using S4 classes and methods as decribed Kohl, M.,
Ruckdeschel, P., and Rieder, H. (2010),
Tools for Statistical Disclosure Control in Research Data Centers
Tools for researchers to explicitly show that their results comply to rules for statistical disclosure control imposed by research data centers. These tools help in checking descriptive statistics and models and in calculating extreme values that are not individual data. Also included is a simple function to create log files. The methods used here are described in the "Guidelines for the checking of output based on microdata research" by Bond, Brandt, and de Wolf (2015) < https://ec.europa.eu/eurostat/cros/system/files/dwb_standalone-document_output-checking-guidelines.pdf>.
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),
Trajectory Miner: a Sequence Analysis Toolkit
Set of sequence analysis tools for manipulating, describing and rendering categorical sequences, and more generally mining sequence data in the field of social sciences. Although this sequence analysis package is primarily intended for state or event sequences that describe time use or life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and functions for extracting the most frequent event subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
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/>.
Extrapolate Gender, Age and Nationality of a Name
Connects to the < https://genderize.io/>, < https://agify.io/> and < https://nationalize.io/> APIs to estimate gender, age and nationality of a first name.