search for: auricular

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2012 Mar 21
0
multivariate ordinal probit regression vglm()
...= FALSE, reverse = TRUE)) Coefficients: (Intercept):1 (Intercept):2 ref$age:1 ref$age:2 -1.65895567 -2.14755951 0.06688242 0.04055919 Degrees of Freedom: 1492 Total; 1488 Residual Residual Deviance: 1188.909 Log-likelihood: -594.4543 ## unrestricted cumulative probit model for auricular scores > mod.auric4 Call: vglm(formula = refdata$auric4 ~ refdata$age, family = cumulative(link = "probit", parallel = FALSE, reverse = TRUE)) Coefficients: (Intercept):1 (Intercept):2 (Intercept):3 ref$age:1 ref$age:2 -2.07719235 -2.43422370 -2.99123098 0.0731963...