Nothing

```
#' This function checks whether the inputs have the correct format
#'
#' @param pnull cdf under the null hypothesis
#' @param rnull routine to generate data under the null hypothesis
#' @param phat =function(x) -99, function to estimate parameters from the data, or -99
#' @param vals vector of discrete values
#' @param x data
#' @return NULL
#'
check.functions=function(pnull, rnull, phat=function(x) -99, vals, x) {
is.wholenumber <-
function(x, tol = .Machine$double.eps^0.5) abs(x - round(x)) < tol
if(all(is.wholenumber(x)) & missing(vals))
message("vector x is all integers but argument vals is missing. Is data discrete?")
if(!all(is.wholenumber(x)) & !missing(vals))
message("vector x has to be all integers/counts for discrete data")
npnull = length(formals(pnull))
nrnull = length(formals(rnull))
# Continuous - No Estimation
if(phat(x)[1]==-99 && missing(vals)) {
if(npnull!=1) message("pnull should have one argument for simple hypothesis if data is continuous")
if(nrnull!=0) message("rnull should have no argument for simple hypothesis if data is continuous")
}
# Continuous - With Estimation
if(phat(x)[1]!=-99 && missing(vals)) {
if(npnull!=2) message("pnull should have two arguments for composite hypothesis if data is continuous")
if(nrnull!=1) message("rnull should have one argument for composite hypothesis if data is continuous")
if(is.function(phat) && length(formals(phat))!=1)
message("phat should have one argument x, the data")
}
# Discrete - No Estimation
if(phat(x)[1]==-99 && !missing(vals)) {
if(length(vals)!=length(pnull())) message("vals and pnull() should have the same length")
if(length(vals)!=length(rnull())) message("vals and rnull() should have the same length")
if(npnull!=0) message("pnull should have no argument for simple hypothesis if data is discrete")
if(nrnull!=0) message("rnull should have no argument for simple hypothesis if data is discrete")
if(!missing(x) && length(x)!=length(vals))
message("For discrete data x and vals have to have the same length")
if(min(diff(pnull()))<0) message("For discrete data pnull should be strictly increasing")
if(min(diff(vals))<0) message("For discrete data vals should be strictly increasing")
}
# Discrete - With Estimation
if(phat(x)[1]!=-99 && !missing(vals)) {
if(npnull!=1) message("pnull should have one arguments for composite hypothesis if data is discrete")
if(nrnull!=1) message("rnull should have one argument for composite hypothesis if data is discrete")
if(is.function(phat) && length(formals(phat))!=1)
message("phat should have one argument x, the data")
if(!missing(x) && length(x)!=length(vals))
message("For discrete data x and vals have to have the same length")
if(min(diff(vals))<0) message("For discrete data vals should be strictly increasing")
}
}
```

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