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.