Package: ispd 0.2

ispd: Incomplete Split-Plot Designs

A collection of several functions related to construction and analysis of incomplete split-plot designs. The package contains functions to obtain and analyze incomplete split-plot designs for three kinds of situations namely (i) when blocks are complete with respect to main plot treatments and main plots are incomplete with respect to subplot treatments, (ii) when blocks are incomplete with respect to main plot treatments and main plots are complete with respect to subplot treatments and (iii) when blocks are incomplete with respect to main plot treatments and main plots are incomplete with respect to subplot treatments.

Authors:Baidya Nath Mandal [aut, cre], Sukanta Dash [aut], Rajender Parsad [aut]

ispd_0.2.tar.gz
ispd_0.2.zip(r-4.5)ispd_0.2.zip(r-4.4)ispd_0.2.zip(r-4.3)
ispd_0.2.tgz(r-4.4-any)ispd_0.2.tgz(r-4.3-any)
ispd_0.2.tar.gz(r-4.5-noble)ispd_0.2.tar.gz(r-4.4-noble)
ispd_0.2.tgz(r-4.4-emscripten)ispd_0.2.tgz(r-4.3-emscripten)
ispd.pdf |ispd.html
ispd/json (API)

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

Peer review:

Datasets:
  • cmis - Data from an experiment using incomplete split-plot design
  • imcs - Data from an experiment using incomplete split-plot design
  • imis - Data from an experiment using incomplete split-plot design

On CRAN:

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

2 exports 0.00 score 69 dependencies 163 downloads

Last updated 5 years agofrom:a155e56059. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:aov.ispdispd

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyremmeansestimabilityfansifarvergenericsggplot2gluegtableibdisobandlabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo