kucharssim / restriktor Goto Github PK

Restriktor is a free, open source R package for linear equality and inequality constrained statistical estimation, inference and evaluation for linear models.

Restriktor is implemented as an R package. This means that before installing restriktor, you should have installed a recent version (>= 4.0.0) of R. You can download the latest version of R from the R-project website.

R is a command line driven program. This means that it does not have a graphical user interface (GUI). Luckily, there are many good GUI's to make life easier, for example Rstudio, R Commander and RKWard.

Once you have installed R, the next step is to install restriktor. This can be done by typing in R:

install.packages("restriktor", dependencies = TRUE)

To check if the installation was successful, you can load the restriktor package and try for example:

library(restriktor)

# construct constraint syntax based on the factor level names
constraints <- 'GroupActive  < GroupPassive
                GroupPassive < GroupControl
                GroupControl < GroupNo'

Fit the unrestricted linear model, where "Age" is the response variable and "Group" a factor with four treatment groups.

fit.ANOVA <- lm(Age ~ -1 + Group, data = ZelazoKolb1972)

# fit the restricted model
restr.ANOVA <- restriktor(fit.ANOVA, constraints = constraints)


# summary of the restricted parameter estimates
summary(restr.ANOVA)

If you can see the output, everything is set up and ready.

For more information see the restriktor website.