Tests the null hypothesis of monotonicity over a set of parameters associated to an ordinal predictor, according to Espinosa and Hennig (2019) <DOI:10.1007/s11222-018-9842-2>.
Usage
monoTestBonf(simultAlpha = 0.05, OP_UMLE, OP_SE)
Value
testRes: String value with outcomes either "Reject H_0" or "Not Reject H_0".
simultAlpha: Numerical value with the simultaneous significance level.
indivAlphaA: Numerical value with the individual significance level for each confidence interval.
simultPvalue: Numerical value with the p-value associated to the simultaneous significance level.
Arguments
simultAlpha
Numerical value for the simultaneous significance level.
OP_UMLE
Vector with the unconstrained parameter estimates of an ordinal predictor's categories represented by dummy variables
in an unconstrained model for ordinal response (see vlgm).
OP_SE
Vector with the standard error of the parameters of an ordinal predictor's categories represented by dummy variables
in an unconstrained model for ordinal response (see vlgm).
References
Espinosa, J., and Hennig, C. "A constrained regression model for an ordinal response
with ordinal predictors." Statistics and Computing 29.5 (2019): 869-890.
https://doi.org/10.1007/s11222-018-9842-2.