Other packages > Find by keyword >

Explore topics

By keyword . Oldest R packages . Newest R packages . Top downloaded R packages . Datasets . Archived R packages . Top downloaded last week . Top downloaded yesterday

MixedLevelRSDs

Star Watch Copy Code

Mixed Level Response Surface Designs

View on CRAN: Click here

Download and install MixedLevelRSDs package within the R console
Install from CRAN:

 install.packages("MixedLevelRSDs")

Install from Github:

 library("remotes")

                        install_github("cran/MixedLevelRSDs")

Install by package version:

 library("remotes")

                        install_version("MixedLevelRSDs", "1.0.0")

Attach the package and use:

 library("MixedLevelRSDs")

Maintained by
Ashutosh Dalal
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2023-05-05

Latest Update: 2023-05-05

Description:

Response Surface Designs (RSDs) involving factors not all at same levels are called Mixed Level RSDs (or Asymmetric RSDs). In many practical situations, RSDs with asymmetric levels will be more suitable as it explores more regions in the design space. (J.S. Mehta and M.N. Das (1968) . "Asymmetric rotatable designs and orthogonal transformations").This package contains function named ATORDs_I() for generating asymmetric third order rotatable designs (ATORDs) based on third order designs given by Das and Narasimham (1962). Function ATORDs_II() generates asymmetric third order rotatable designs developed using t-design of unequal set sizes, which are smaller in size as compared to design generated by function ATORDs_I(). In general, third order rotatable designs can be classified into two classes viz., designs that are suitable for sequential experimentation and designs for non-sequential experimentation. The sequential experimentation approach involves conducting the trials step by step whereas, in the non-sequential experimentation approach, the entire runs are executed in one go (M. N. Das and V. Narasimham (1962) . "Construction of Rotatable Designs through Balanced Incomplete Block Designs"). ATORDs_I() and ATORDs_II() functions generate non-sequential asymmetric third order designs. Function named SeqTORD() generates symmetric sequential third order design in blocks and also gives G-efficiency of the given design. Function named Asymseq() generates asymmetric sequential third order designs in blocks (M. Hemavathi, Eldho Varghese, Shashi Shekhar and Seema Jaggi (2020) . "Sequential asymmetric third order rotatable designs (SATORDs)"). In response surface design, situations may arise in which some of the factors are qualitative in nature (Jyoti Divecha and Bharat Tarapara (2017) . "Small, balanced, efficient, optimal, and near rotatable response surface designs for factorial experiments asymmetrical in some quantitative, qualitative factors"). The Function named QualRSD() generates second order design with qualitative factors along with their D-efficiency and G-efficiency. The function named RotatabilityQ() calculates a measure of rotatability (measure Q, 0 <= Q <= 1) given by Draper and Pukelshiem(1990) for given a design based on a second order model, (Norman R. Draper and Friedrich Pukelsheim(1990) . "Another look at rotatability").

How to cite:

Ashutosh Dalal (2023). MixedLevelRSDs: Mixed Level Response Surface Designs. R package version 1.0.0, https://cran.r-project.org/web/packages/MixedLevelRSDs

Previous versions and publish date:

No previous versions

Other packages that cited MixedLevelRSDs R package

View MixedLevelRSDs citation profile

Other R packages that MixedLevelRSDs depends, imports, suggests or enhances

View MixedLevelRSDs dependency map

Functions, R codes and Examples using the MixedLevelRSDs R package

Full MixedLevelRSDs package functions and examples

Downloads during the last 30 days

Get rewarded with contribution points by helping add

Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ContRespPP

Predictive Probability for a Continuous Response with an ANOVA Structure

A Bayesian approach to using predictive probability in an ANOVA construct with a continuous normal ...
Download / Learn more Package Citations See dependency

Maintainer: Victoria Sieck (view profile)

risksetROC

Riskset ROC Curve Estimation from Censored Survival Data

Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC, integrated AUC )from cen ...
Download / Learn more Package Citations See dependency

Maintainer: Paramita Saha-Chaudhuri (view profile)

tpr

Temporal Process Regression

Regression models for temporal process responses with time-varying coefficient. ...
Download / Learn more Package Citations See dependency

Maintainer: Jun Yan (view profile)

proftools

Profile Output Processing Tools for R

Tools for examining Rprof profile output. ...
Download / Learn more Package Citations See dependency

Maintainer: Luke Tierney (view profile)

quickcode

Quick and Essential 'R' Tricks for Better Scripts

The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency

Maintainer: Obinna Obianom (view profile)

highMLR

Feature Selection for High Dimensional Survival Data

Perform high dimensional Feature Selection in the presence of survival outcome. Based on Feature Se ...
Download / Learn more Package Citations See dependency

Maintainer: Atanu Bhattacharjee (view profile)