Artifacts using mvtnorm version 0.9-9992-b44

Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).

Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.

Tools for multivariate nonparametrics, as location tests based on marginal ranks, spatial median and spatial signs computation, Hotelling's T-test, estimates of shape are implemented.

Implementation of Tyler, Critchley, Duembgen and Oja's (JRSS B, 2009, <doi:10.1111/j.1467-9868.2009.00706.x>) and Oja, Sirkia and Eriksson's (AJS, 2006, <http://www.ajs.or.at/index.php/ajs/article/view/vol35,%20no2%263%20-%207>) method of two different scatter matrices to obtain an invariant coordinate system or independent components, depending on the underlying assumptions.

A glm-like formula language to define dynamic generalized linear models (state space models). Includes functions for Kalman filtering and smoothing. Estimation of variance matrices can be performed using the EM algorithm in case of Gaussian models. Read help(sspir) to get started.

An R package for analysis of case-control studies in genetic epidemiology.

An R package that provides a suite of tools to evaluate clustering algorithms, clusterings, and individual clusters.

This package contains functions for likelihood and posterior analysis of conditionally specified logistic regression models. All calculus and simulation is done in compiled FORTRAN.

Reconstruct individual-level values from aggregate-level summaries.

Goodness-of-fit test with multiplier or parametric bootstrap.