socnorm: socnorm : The probability of an event when all subjects are...
In henok535/RMPB: Reproducibility Metric for Predictive Biomarker

Description Usage Arguments Value Author(s) Examples

View source: R/socnorm.R

This function is used to estimate the probability of an event assuming all the subjects are are assigned to the "placebo" or "standard of care" group. The predictive biomarker is assumed to have a normal distribution with mean nu and variance sigma squared.

1	socnorm(coeff, dpar)

`coeff`	The coefficients obtained from fitting the log linear model and must be a vector of length four
`dpar`	The parameters of the biomarker which has a normal distribution and must be of a vector legnth two

A value of the estimated probability and must be a number between 0 and 1

Henok Woldu

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  # Let coff is a vector of length four with each elemnt represent the value of the coefficients of the model
  # Let dpar is a vector of legnth two such that the  mean= 2.3 and variance = 0.2 of the predictive biomarker are given
  eventplacebo <- socnorm(coff, dpar=c(2.3,0.2))