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Generate Isolines and Isobands from Regularly Spaced Elevation Grids
A fast C++ implementation to generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.
A Toolbox for Clinical Significance Analyses in Intervention Studies
A clinical significance analysis can be used to determine if an
intervention has a meaningful or practical effect for patients. You provide
a tidy data set plus a few more metrics and this package will take care of
it to make your results publication ready. Accompanying package to
Claus et al.
Improved Text Rendering Support for 'Grid' Graphics
Provides support for rendering of formatted text using 'grid' graphics. Text can be formatted via a minimal subset of 'Markdown', 'HTML', and inline 'CSS' directives, and it can be rendered both with and without word wrap.
'ggplot' Visualizations for the 'partykit' Package
Extends 'ggplot2' functionality to the 'partykit' package. 'ggparty' provides the necessary tools to create clearly structured and highly customizable visualizations for tree-objects of the class 'party'.
Tools for Descriptive Statistics
A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Joyplots in 'ggplot2'
Joyplots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.
Solve Generalized Estimating Equations for Clustered Data
Estimation of generalized linear models with
correlated/clustered observations by use of generalized estimating
equations (GEE). See e.g. Halekoh and Højsgaard, (2005,
Prediction and Interpretation in Decision Trees for Classification and Regression
Optimization of conditional inference trees from the package 'party'
for classification and regression.
For optimization, the model space is searched for the best tree on the full sample by
means of repeated subsampling. Restrictions are allowed so that only trees are accepted
which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a).
The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs
& Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated
applications of PrInDT() for different percentages of the observations of the large and the
small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT())
allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld,
2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel
classification. In addition to these PrInDT() variants for classification, the function
PrInDTreg() has been developed for regression problems. Finally, the function PostPrInDT()
allows for a posterior analysis of the distribution of a specified variable in the terminal
nodes of a given tree.
References are:
-- Weihs, C., Buschfeld, S. (2021a) "Combining Prediction and Interpretation in
Decision Trees (PrInDT) - a Linguistic Example"
Analysis of Single-Cell Viral Growth Curves
Aims to quantify time intensity data by using sigmoidal and
double sigmoidal curves. It fits straight lines, sigmoidal,
and double sigmoidal curves on to time vs intensity data.
Then all the fits are used to make decision on which model
best describes the data. This method was first developed
in the context of single-cell viral growth analysis (for
details, see Caglar et al. (2018)
Presentation Ninja
Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (< https://remarkjs.com>).