Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.

Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include N-way Canonical Polyadic Decomposition, Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.

This package exports one function cluster.vcov, which implements
multi-way clustering using the method suggested by Cameron, Gelbach, &
Miller (2011).  Normal one and two-way clustering matches the results of
other common statistical packages.  Missing values are handled
transparently and rudimentary parallelization support is provided.

Nathaniel Graham and Mahmood Arai and Bj<c3><b6>rn Hagstr<c3><b6>mer
This package exports two functions cluster.vcov, which implements
multi-way clustering using the method suggested by Cameron, Gelbach, &
Miller (2011) and cluster.boot, which implements cluster (or block)
bootstrapping for estimating variance-covariance matrices. Normal one and
two-way clustering matches the results of other common statistical
packages.  Missing values are handled transparently and rudimentary
parallelization support is provided.

Nathaniel Graham and Mahmood Arai and Björn Hagströmer
Exports two functions implementing
multi-way clustering using the method suggested by Cameron, Gelbach, &
Miller (2011) and cluster (or block)
bootstrapping for estimating variance-covariance matrices. Normal one and
two-way clustering matches the results of other common statistical
packages.  Missing values are handled transparently and rudimentary
parallelization support is provided.

sandwich, boot, compiler, parallel, stats, utils

Christian B. Pipper <pipper@life.ku.dk>, Christian Ritz
<ritz@life.ku.dk>
Testing of multiple outcomes using i.i.d. decompositions
R (>= 2.6.0), gtools, mvtnorm, sandwich, MASS
Wed Jun 24 08:55:42 2009; Christian Pipper