Package: laercio
Type: Package
Title: Duncan test, Tukey test and Scott-Knott test.
Version: 0.9-3
Date: 2008-06-29
Author: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Maintainer: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Description: The package contains functions to compare and group means.
License: GPL (>= 2)
Packaged: Sun Jun 29 10:14:11 2008; Chefe

Package: laercio
Type: Package
Title: Duncan test, Tukey test and Scott-Knott test.
Version: 0.9-4
Date: 2008-07-15
Author: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Maintainer: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Description: The package contains functions to compare and group means.
License: GPL (>= 2)
Packaged: Tue Jul 15 13:31:06 2008; Chefe

Package: laercio
Type: Package
Title: Duncan test, Tukey test and Scott-Knott test.
Version: 0.9-5
Date: 2008-07-20
Author: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Maintainer: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Description: The package contains functions to compare and group means.
License: GPL (>= 2)
Packaged: Sun Jul 20 11:33:55 2008; Chefe

Package: laercio
Type: Package
Title: Duncan test, Tukey test and Scott-Knott test.
Version: 1.0-0
Date: 2008-09-07
Author: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Maintainer: Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Description: The package contains functions to compare and group means.
License: GPL (>= 2)
Packaged: Sun Sep  7 09:46:36 2008; Chefe

Title: Classes and Methods for Lagged Objects
Description: Provides classes and methods for lagged objects.

Collate: lagged.R utils.R pc20slMatrix.r acfutils.R

Description: Provides classes and methods for objects, whose indexing
naturally starts from zero. Subsetting, indexing and mathematical
operations are defined naturally between lagged objects and lagged
and base R objects. Recycling is not used, except for singletons.
The single bracket operator doesn't drop dimensions by default.

Title: An efficient kernel algorithm for rare target detection and unbalanced classification
Author: Alexandra Laflamme-Sanders, Wanhua Su, Mu Zhu
Description: LAGO is a kernel method much like the SVM, except that it is constructed without the use of any iterative optimization procedure and hence very efficient. (Technometrics 48, 193-205; The American Statistician 62, 97-109, Sec 4.2)
Packaged: Tue Apr 22 18:47:46 2008; m3zhu