Other packages > Find by keyword >

hrtlFMC  

Half Replicate of Two Level Factorial Run Order with Minimum Level Changes
View on CRAN: Click here


Download and install hrtlFMC package within the R console
Install from CRAN:
install.packages("hrtlFMC")

Install from Github:
library("remotes")
install_github("cran/hrtlFMC")

Install by package version:
library("remotes")
install_version("hrtlFMC", "0.1.0")



Attach the package and use:
library("hrtlFMC")
Maintained by
Bijoy Chanda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-30
Latest Update: 2024-08-30
Description:
It is used to construct run sequences with minimum changes for half replicate of two level factorial run order. Experimenter can save time and resources by minimizing the number of changes in levels of individual factor and therefore the total number of changes. It consists of the function minimal_hrtlf(). This technique can be employed to any half replicate of two level factorial run order where the number of factors are greater than two. In Design of Experiments (DOE) theory, two level of a factor can be represented as integers e.g. - 1 for low and 1 for high. User is expected to enter total number of factors to be considered in the experiment. minimal_hrtlf() provides the required run sequences for the input number of factors.The output also gives the number of changes of each factor along with total number of changes in the run sequence. Due to restricted randomization the minimally changed run sequences of half replicate of two level factorial run order will be affected by trend effect. The output also provides the Trend Factor value of the run order. Trend factor value will lies between 0 to 1. Higher the values, lesser the influence of trend effects on the run order.
How to cite:
Bijoy Chanda (2024). hrtlFMC: Half Replicate of Two Level Factorial Run Order with Minimum Level Changes. R package version 0.1.0, https://cran.r-project.org/web/packages/hrtlFMC. Accessed 27 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited hrtlFMC R package
View hrtlFMC citation profile
Other R packages that hrtlFMC depends, imports, suggests or enhances
Complete documentation for hrtlFMC
Functions, R codes and Examples using the hrtlFMC R package
Full hrtlFMC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lmmpar  
Parallel Linear Mixed Model
Embarrassingly Parallel Linear Mixed Model calculations spread across local cores which repeat until ...
Download / Learn more Package Citations See dependency  
BetterReg  
Better Statistics for OLS and Binomial Logistic Regression
Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and ...
Download / Learn more Package Citations See dependency  
ROI.plugin.qpoases  
'qpOASES' Plugin for the 'R' Optimization Infrastructure
Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'qpOASES'. M ...
Download / Learn more Package Citations See dependency  
Bodi  
Boosting Diversity in Regression Ensembles
A gradient boosting-based algorithm by incorporating a diversity term to guide the gradient boosting ...
Download / Learn more Package Citations See dependency  
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  
IntervalQuestionStat  
Tools to Deal with Interval-Valued Responses in Questionnaires
A user-friendly toolbox for doing the statistical analysis of interval-valued responses in question ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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