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One of the aims of this package is to make life easier for useRs who deal with survey data sets. It provides 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. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates. Also some convenience tools for graphics, programming, and simulation are provided.

Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.

R-cran-miscTools is miscellaneous tools and utilities for R.

nloptr is an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms.

An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.

Test in linear mixed effects models. Attention is on linear mixed effects models as implemented in the lme4 package. The package implements a parametric bootstrap test. The package implements a Kenward-Roger modification of F-tests.

ARIBAS is an interactive interpreter for big integer arithmetic and multi-precision floating point arithmetic with a Pascal/Modula like syntax. It has several builtin functions for algorithmic number theory like gcd, Jacobi symbol, Rabin probabilistic prime test, continued fraction and quadratic sieve factorization, Pollard rho factorization, etc.

R-psych provides a number of routines for personality, psychometrics and experimental psychology. Functions are primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research.

Foma is a compiler, programming language, and C library for constructing finite-state automata and transducers for various uses. It has specific support for many natural language processing applications such as producing morphological analyzers. Although NLP applications are probably the main use of foma, it is sufficiently generic to use for a large number of purposes. The foma interface is similar to the Xerox xfst interface, and supports most of the commands and the regular expression syntax in xfst. Many grammars written for xfst compile out-of-the-box with foma. The library contains efficient implementations of all classical automata/transducer algorithms: determinization, minimization, epsilon-removal, composition, boolean operations. Also, more advanced construction methods are available: context restriction, quotients, first-order regular logic, transducers from replacement rules, etc.