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SeqAlloc  

Sequential Allocation for Prospective Experiments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SeqAlloc", "1.0")



Attach the package and use:
library("SeqAlloc")
Maintained by
Xiaoshu Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-04
Latest Update: 2016-08-04
Description:
Potential randomization schemes are prospectively evaluated when units are assigned to treatment arms upon entry into the experiment. The schemes are evaluated for balance on covariates and on predictability (i.e., how well could a site worker guess the treatment of the next unit enrolled).
How to cite:
Xiaoshu Zhu (2016). SeqAlloc: Sequential Allocation for Prospective Experiments. R package version 1.0, https://cran.r-project.org/web/packages/SeqAlloc. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
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View SeqAlloc citation profile
Other R packages that SeqAlloc depends, imports, suggests or enhances
Complete documentation for SeqAlloc
Functions, R codes and Examples using the SeqAlloc R package
Some associated functions: MAICimbal . SeqAlloc-package . SeqAlloc . SeqAllocplot . WAICimbal . bcdalloc . caitalloc . caralloc . cguess . covimbal . stratblockalloc . summary95 . weight_x . 
Some associated R codes: MAICimbal.R . SeqAlloc.R . SeqAllocplot.R . WAICimbal.R . bcdalloc.R . caitalloc.R . caralloc.R . cguess.R . covimbal.R . stratblockalloc.R . summary95.R . weight_x.R .  Full SeqAlloc package functions and examples
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