Rate and odds ratios for the matched count families

Rate ratios (exp of the count/intensity coefficients, column IRR) and, for the two-part models, odds ratios of the binary stage (column OR), by equation. Element names match the CPB family (intensity for the count component; participation for the hurdle stage, zero for the inflation stage).

Usage

# S3 method for class 'count_reg'
irr(object, level = 0.95, ...)

# S3 method for class 'gec'
irr(object, level = 0.95, ...)

# S3 method for class 'gec_fe'
irr(object, level = 0.95, ...)

# S3 method for class 'cpb_fe'
irr(object, level = 0.95, ...)

# S3 method for class 'hurdle_gec'
irr(object, level = 0.95, ...)

# S3 method for class 'zi_gec'
irr(object, level = 0.95, ...)

# S3 method for class 'hurdle_count'
irr(object, level = 0.95, ...)

# S3 method for class 'zi_count'
irr(object, level = 0.95, ...)

Arguments

object

A fitted model from this package.

level

Confidence level.

...

Unused.

Value

A "ud_irr" data frame – the package-wide ratio contract shared by every irr() method: columns term, equation ("count", "participation" for a hurdle's binary stage, or "inflation" for a zero-inflated model's structural-zero stage; the two point in opposite directions, an odds ratio above one raising P(Y > 0) in the first and P(structural zero) in the second), ratio ("IRR" or "OR"), estimate, lower, upper, and method (the interval source; "none" with NA bounds when no covariance is available). Two-part models stack both equations. The IRR rows are ratios of the rate parameter \(\exp(\beta)\); for the CPB and the underdispersed GEC the ratio of fitted means differs from it by the support renormalization, and first_difference() reports the exact mean contrast.