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-4.5-any)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'))
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.

1.00 score 192 downloads 2 exports 73 dependencies

Last updated 6 years agofrom:a155e56059. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winOKFeb 14 2025
R-4.5-macOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025
R-4.4-winOKFeb 14 2025
R-4.4-macOKFeb 14 2025
R-4.3-winOKFeb 14 2025
R-4.3-macOKFeb 14 2025

Exports:aov.ispdispd

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyremmeansestimabilityfansifarverFormulagenericsggplot2gluegtableibdisobandlabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangsandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo