Description: This package contains functions for paleolimnology -
wa-regression (see also package analogue by G. Simpson!),
wa-pls and the mowing-window approch. The function palplot
allows a first plot of the data including a trend analysis. The
pom function is just a first test version.
Packaged: Fri Jun 26 08:48:47 2009; botanikschule-B

Packaged: Thu Jul 9 09:20:25 2009; botanikschule-B

Title: WA, WA-PLS, MW for paleolimnology
mtf function is just a first test version.

Title: Principal Axes Methods for Contingency Tables with Partition
Author: Campo Elias Pardo <cepardot@unal.edu.co>
Depends: R (>= 2.7.0), ade4, xtable, FactoClass
Description: Correspondence Analysis of Contingency Tables with Simple
and Double Structures Superimposed Representations, Intra
Blocks Internal Corresponde Analysis, MFACT-DP.

Packaged: 2010-07-10 20:57:26 UTC; estadistica

Blocks Corresponde Analysis (IBCA), Weighted Intra Blocks
Packaged: 2010-08-03 23:53:46 UTC; estadistica

Packaged: 2010-10-29 03:39:56 UTC; estadistica

Depends: R (>= 2.7.0), ade4, xtable,FactoClass
Blocks Correspondence Analysis (IBCA), Weighted Intra Blocks

Packaged: 2015-02-04 14:26:43 UTC; UNcepardot

Packaged: 2017-01-05 22:46:01 UTC; UNcepardot

Title: Power analysis for random effects in mixed models
Description: Simulation functions to assess or explore the power of a
dataset to estimates significant random effects (intercept or
slope) in a mixed model. The functions are based on the "lme4"
Depends: R (>= 2.4.0),lme4, mvtnorm, gmodels

Packaged: Sun Oct 4 11:14:31 2009; MiaToufou

Title: Power Analysis for Random Effects in Mixed Models
Authors@R: person("Julien","Martin", email = "julienmartin@abdn.ac.uk",
Description: Simulation functions to assess or explore the power of a dataset to estimates significant random effects (intercept or slope) in a mixed model. The functions are based on the "lme4" package.
Imports: lmerTest, gmodels, lattice, mvtnorm, lme4

Authors@R: person("Julien","Martin", email = "julien.martin@uottawa.ca",
Description: Simulation functions to assess or explore the power of a dataset to estimates significant random effects (intercept or slope) in a mixed model. The functions are based on the "lme4" and "lmerTest" packages.
Imports: lmerTest, lattice, mvtnorm, lme4