Package: ibd 1.6

ibd: Incomplete Block Designs

A collection of several utility functions related to binary incomplete block designs. Contains function to generate A- and D-efficient binary incomplete block designs with given numbers of treatments, number of blocks and block size. 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. 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.

Authors:B N Mandal [aut, cre]

ibd_1.6.tar.gz
ibd_1.6.zip(r-4.7)ibd_1.6.zip(r-4.6)ibd_1.6.zip(r-4.5)
ibd_1.6.tgz(r-4.6-any)ibd_1.6.tgz(r-4.5-any)
ibd_1.6.tar.gz(r-4.7-any)ibd_1.6.tar.gz(r-4.6-any)
ibd_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ibd/json (API)

# Install 'ibd' in R:

install.packages('ibd', repos = c('https://doer0.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

ibddata - Data from an Experiment using Incomplete Block Design

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.98 score 3 packages 35 scripts 390 downloads 3 mentions 34 exports 77 dependencies

Last updated from:61f3277558. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	220
source / vignettes	OK	193
linux-release-x86_64	OK	215
macos-release-arm64	OK	90
macos-oldrel-arm64	OK	133
windows-devel	OK	100
windows-release	OK	103
windows-oldrel	OK	92
wasm-release	OK	118

Exports:A_eff A_eff.NNP aov.ibd bibd btib btib1 btibgen ccmat ccmat_LP check.orthogonality check.validity.NNP Cmatrix D_eff design design_to_N do.exist.NBIB g gts ibd ibdgen ibdtvc Information.Matrix interchange.NNP is.connected is.equir is.orthogonal is.proper is.vb is.wholenumber LIP N N_to_design NLIP randomize

Dependencies:abind backports boot broom car carData cli codetools colorspace cowplot cpp11 Deriv doBy dplyr emmeans estimability farver forecast Formula fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest lpSolve magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr multcomp mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 sandwich scales SparseM stringi stringr survival TH.data tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Help page	Topics
A-efficiency of A Binary Incomplete Block Design	A_eff
Analysis of Variance, Estimated Marginal Means and Contrast Analysis of Data from An Incomplete Block Design	aov.ibd
Balanced Incomplete Block Design for Given Parameters	bibd
Balanced Treatment Incomplete Block Designs	btib
Balanced Treatment Incomplete Block Designs	btib1
Information Matrix of a Block Design	Cmatrix Information.Matrix
D-efficiency of a Binary Incomplete Block Design	D_eff
Block Design to Treatment by Block Incidence Matrix	design_to_N N
Binary Incomplete Block Design for Given v, b and k and Optionally, with a Specified Concurrence Matrix	ibd
Data from an Experiment using Incomplete Block Design	ibddata
Incomplete Block Design for Test vs Control(s) Comparions	ibdtvc
Connctedness of a Binary Incomplete Block Design	is.connected
Equi-replicateness a Binary Incomplete Block Design	is.equir
Orthogonality a Block Design	is.orthogonal
Proper Binary Incomplete Block Design	is.proper
Variance Balancedness of a Binary Incomplete Block Design	is.vb
Block Design from Given Treatment by Block Incidence Matrix	design N_to_design
Randomize a block design	randomize

Package: ibd 1.6

ibd: Incomplete Block Designs

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)