qscore_stat {crctStepdown} R Documentation

## Calculates the randomisation test statistic

### Description

Calculates a randomisation test statistic based on the sum of generalised, studentized residuals for a given model fit and null hypothesis of the value of the treatment effect parameter

### Usage

qscore_stat(
fit,
data,
null_par = 0,
tr_var = "treat",
cl_var = "cl",
tr_assign = "treat"
)


### Arguments

 fit A glm or lm model fit data The data frame used to fit model fit null_par Numeric the value of tr_var parameter under the null hypothesis tr_var String indicating the name of the column in data that is a binary indicator for whether the observation was under the treatment (1=treatment, 0=control) cl_var String specifying the name of the column identifying the clusters/cluster-time tr_assign String specifying the treatment assignment under a new permutation. If calculating the test statistics under the original treatment assignment then this should be the same as tr_var

### Value

The value of the test statistic

### Examples

out <- twoarm_sim()
data <- out[[1]]
fit1 <- glm(y1 ~ treat ,
data=data,
family="poisson")
qscore_stat(fit=fit1,
data=data)


[Package crctStepdown version 0.2.1 Index]