Package: ibd
Version: 1.1
Date: 2013-04-01
Title: INCOMPLETE BLOCK DESIGNS
Author: Baidya Nath Mandal <mandal.stat@gmail.com>
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 2.15.1), lpSolve, MASS
Description: This package contains several utility functions related to
incomplete block designs. The package also contains function to
generate efficient incomplete block designs with given numbers
of treatments, blocks and block size. The package also contains
unction to generate an incomplete block design with specified
concurrence matrix. There are functions to generate balanced
treatment incomplete block designs and incomplete block designs
for test versus control treatments comparisons with specified
concurrence matrix. Package also allows performing analysis of
variance of data from experiments using a connected incomplete
block design.
License: GPL (>= 2)
Packaged: 2013-04-04 06:41:05 UTC; dell
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-04 13:07:23

Author: B N Mandal <mandal.stat@gmail.com>
Depends: R (>= 3.1.1), lpSolve, MASS, car, lsmeans, multcompView
Description: This package contains several utility functions related to incomplete block designs. The package contains function to generate efficient incomplete block designs with given numbers of treatments, blocks and block size. The package also contains function to generate an incomplete block design with specified concurrence matrix. There are functions to generate balanced treatment incomplete block designs and incomplete block designs for test versus control treatments comparisons with specified concurrence matrix. Package also allows performing analysis of variance of data and computing least square means of factors from experiments using a connected incomplete block design. Tests of hypothesis of treatment contrasts in incomplete block design set up is supported.

Authors@R: c(person("B N", "Mandal", role = c("aut", "cre"),
Depends: R (>= 3.1.1), lpSolve, MASS, car, emmeans, multcompView
Description: A collection of several utility functions related to binary incomplete block designs. The package contains function to generate A- and D-efficient binary incomplete block designs with given numbers of treatments, number of blocks and block size. The package also contains function to generate an incomplete block design with specified concurrence matrix. There are functions to generate balanced treatment incomplete block designs and incomplete block designs for test versus control treatments comparisons with specified concurrence matrix. Package also allows performing analysis of variance of data and computing estimated marginal means of factors from experiments using a connected incomplete block design. Tests of hypothesis of treatment contrasts in incomplete block design set up is supported.