This function performs a number of chi-square gof tests for continuous data
chi_test_cont(
x,
pnull,
w = function(x) -99,
phat = function(x) -99,
qnull = NA,
nbins = c(50, 10),
rate = 0,
Range = c(-99999, 99999),
minexpcount = 5,
ChiUsePhat = TRUE,
allbins
)
A numeric matrix of test statistics, degrees of freedom and p.values
data set
cdf under the null hypothesis
function to find weights of observations, returns -99 if data is unweighted
=function(x) -99, estimated parameters, or starting values of multi-D minimum chi square minimization, or -99 if no estimation is done
=NA quantile function, if available
=c(50, 10) number of bins for chi-square tests
=0, rate of Poisson if sample size is random
=c(-99999, 99999) limits of possible observations, if any
=5 minimal expected bin count required
=TRUE, if TRUE param is estimated parameters and no minimization is used
set of bins to use