ric_parametric: Returns RIC statistics p(x), q(x, AUCi, and local slope when...
In aminadibi/RIC: Relative Impact Characteristic Curve

Note that this function does not need any data. Equations are provided in Appendix II of the paper.

1	ric_parametric(p_x = NA, mu_x, mu_b, sd_x, sd_b, rho, type)

`p_x`	points on the x-axis of ric (p(x)): can be scalar or vector
`mu_x`	mean of marker value
`mu_b`	mean of expected treatment benefit
`sd_x`	SD of marker value
`sd_b`	SD of expected treatment benefit
`rho`	correlation coefficient between marker and benefit. Note: do not use negative value as the underlying assumption (without loss of generality) is that higher marker value is associated with higher treatment benefit;
`type`	normal or lognormal