Managed Projects
ESS
E
Analyzed 2 months ago
ESS: Emacs Speaks Statistics
A Multiplatform, Multipackage Development Environment for Statistical Analysis.
ESS is a GNU Emacs and XEmacs mode for interactive statistical programming and data analysis. Languages supported: the S family (S, S-PLUS and R), SAS, BUGS/JAGS, Stata and XLispStat.
Licenses:
gpl
robustbase R package
R
No analysis available
R Package robustbase: "Essential" Robust Statistics. Providing tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics.
Mostly written in language not available
Licenses:
GPL2
R curves packages
R
No analysis available
several R packages, all related to curve estimation aka curve "fitting".
Notably, cobs, nor1mix, lokern, and lpridge
Mostly written in language not available
Licenses:
GPL2
Rmpfr package R MPFR
R
No analysis available
Rmpfr provides (S4 classes and methods for)
arithmetic including transcendental ("special") functions for
arbitrary precision floating point numbers. To this end, it interfaces to
the LGPL'ed MPFR (Multiple Precision Floating-Point Reliable) Library
which itself is based on the GMP (GNU Multiple Precision) Library.
Mostly written in language not available
Licenses:
GPL2
lme4
L
Analyzed about 11 hours ago
Mixed-effects models in R using S4 classes and methods with RcppEigen
Licenses:
GPL2, gpl3
Matrix package, "Recommended" part of R
M
Analyzed 1 day ago
Classes and methods for dense and sparse matrices and operations on them using Lapack and SuiteSparse (CHOLMOD etc).
Hierarchical (S4) class system and 1000s of methods, using *multiple* dispatch for most matrix and many other standard R functions.
Extra matrix functionality complementing the basics in "base" R.
Licenses:
No declared licenses