Other packages > Find by keyword >

MixedLevelRSDs  

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]
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. Accessed 17 Feb. 2025.
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
Complete documentation for MixedLevelRSDs
Functions, R codes and Examples using the MixedLevelRSDs R package
Full MixedLevelRSDs package functions and examples
Downloads during the last 30 days
01/1801/1901/2001/2101/2201/2301/2401/2501/2601/2701/2801/2901/3001/3102/0102/0202/0302/0402/0502/0602/0702/0802/0902/1002/1102/1202/1302/1402/1502/16Downloads for MixedLevelRSDs0246810121416TrendBars
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

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  
mcmcse  
Monte Carlo Standard Errors for MCMC
Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) ...
Download / Learn more Package Citations See dependency  
officedown  
Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting define ...
Download / Learn more Package Citations See dependency  
vrtest  
Variance Ratio Tests and Other Tests for Martingale Difference Hypothesis
Acollection of statistical tests for martingale difference hypothesis, including automatic portmante ...
Download / Learn more Package Citations See dependency  
RecordTest  
Inference Tools in Time Series Based on Record Statistics
Statistical tools based on the probabilistic properties of the record occurrence in a sequence of i ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA