has_specified_input has_specified_output achieves_planned_objective statistical hypothesis test objective chi square test false positive rate covariance matrix Wald test Wald test for a term in a regression model: regTermTest(model, test.terms, null=NULL,df=Inf, method=c("Wald","LRT")) from: http://r-survey.r-forge.r-project.org/survey/html/regTermTest.html the Wald test is statistical test which computes a Wald chi-squared test for 1 or more coefficients, given their variance-covariance matrix. The Wald test (also called the Wald Chi-Squared Test) is a way to find out if explanatory variables in a model are significant. “Significant” means that they add something to the model; variables that add nothing can be deleted without affecting the model in any meaningful way Philippe Rocca-Serra wald.test(Sigma, b, Terms = NULL, L = NULL, H0 = NULL, df = NULL, verbose = FALSE) from: https://www.rdocumentation.org/packages/aod/versions/1.3/topics/wald.test p-value ready for release