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Automatic Generation of Exams in R
Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2, QTI 2.1, Blackboard, Canvas, OpenOlat, ILIAS, TestVision, Particify, ARSnova, Kahoot!, Grasple, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format (NOPS) is provided that can be printed, scanned, and automatically evaluated.
Color Schemes for Dichromats
Collapse red-green or green-blue distinctions to simulate the effects of different types of color-blindness.
Recursive Partitioning Based on Psychometric Models
Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.
Distributions for Generalized Additive Models for Location Scale and Shape
A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005),
Management of Survey Data and Presentation of Analysis Results
An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Exchange Rate Regime Analysis
Exchange rate regression and structural change tools for estimating, testing, dating, and monitoring (de facto) exchange rate regimes.
Generalized Linear Mixed Model Trees
Recursive partitioning based on (generalized) linear mixed models
(GLMMs) combining lmer()/glmer() from 'lme4' and lmtree()/glmtree() from
'partykit'. The fitting algorithm is described in more detail in Fokkema,
Smits, Zeileis, Hothorn & Kelderman (2018;
Penn World Table (Version 8.x)
The Penn World Table 8.x provides information on relative levels of income, output, inputs, and productivity for 167 countries between 1950 and 2011.
R Fortunes
A collection of fortunes from the R community.
TeX-to-HTML/MathML Translators TtH/TtM
C source code and R wrappers for the tth/ttm TeX-to-HTML/MathML translators.