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]

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ibd.pdf |ibd.html✨
ibd/json (API)

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

Peer review:

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.

2.94 score 3 packages 32 scripts 579 downloads 3 mentions 34 exports 69 dependencies

Last updated 10 months agofrom:61f3277558. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:A_effA_eff.NNPaov.ibdbibdbtibbtib1btibgenccmatccmat_LPcheck.orthogonalitycheck.validity.NNPCmatrixD_effdesigndesign_to_Ndo.exist.NBIBggtsibdibdgenibdtvcInformation.Matrixinterchange.NNPis.connectedis.equiris.orthogonalis.properis.vbis.wholenumberLIPNN_to_designNLIPrandomize

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyremmeansestimabilityfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo