The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

rmerec

R Implementation of the MEthod based on the Removal Effects of Criteria - MEREC

Given a decision matrix, the function return the Merec weight´s vector and all intermediate matrixes/vector to calculate it.

More information about the method at https://doi.org/10.3390/sym13040525

More information about the implementation at https://github.com/lucassp/rmerec

For Use

Install option 1 - from github

library("devtools");
install_github("lucassp/rmerec");
library("rmerec")
...

Install option 2 - from CRAN

install.packages("rmerec")
library("rmerec")
...

Calculation sample from DOI´s data

```

DOI´s test data

alternatives <- c(“A1”, “A2”, “A3”, “A4”, “A5”) optimizations <- c(“max”, “max”, “min”, “min”)

data <- matrix(c( c(450, 10, 100, 220, 5), # criterion 1 values c(8000, 9100, 8200, 9300, 8400), # criterion 2 values c(54, 2, 31, 1, 23), # criterion 3 values c(145, 160, 153, 162, 158) # criterion 4 values ), nrow=5, ncol=4)

result <- merec_weights(data, alternatives, optimizations)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.