(BSD-3-Clause AND GPL-3.0 AND BSD-2-Clause AND MIT AND GPL-2.0 AND AGPL-3.0 AND CC-BY-SA-4.0 AND Artistic-2.0 AND LGPL-2.1 AND LGPL-3.0)
Simultaneous inference for general linear hypotheses R Package
This R package contains functions for simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.
acquired package info from repodata DB: repodata/69e709f4d2852d98f12867a74015d19384fe2727ff670fd70178cdde80b1e77e-primary.sqlite.bz2
Model-robust standard error estimators for cross-sectional, time series and longitudinal data.
Multivariate normal and T distribution R Package
This R package computes multivariate normal and t probabilities, quantiles and densities.
The minimal R components necessary for a functional runtime
A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.