Functions used in the process of estimating parameters and standard errors of ordered generalized linear models.
updateComponents(Env,Parameters)oglmx.maxlik(inputenv,start)
loglikelihood.oglmx(Env)
score_oglmx(Env)
hessian_oglmx(Env)
calcBHHHmatrix(Env)
mergeformulas(formula1,formula2)
calcstartvalues(whichparameter,gfunc,threshvec)
getThresholds(outcomematrix,thresholdvector)
Probability(eta_1,eta_0,link)
environment, typically constructed by the oglmx.fit function, that contains all relevant information for the optimisation process.
numeric vector of length equal to the number of estimated parameters.
items of class formula.
logical
expression, function used to model the variance
numeric vectors of threshold values
numeric matrix with binary variables indicating the outcome for each observation
input values for the link function
string value indicating which link function is to be used