LRM: Logistic Regression Model Estimates
In brian-j-smith/qibm: Quantitative imaging biomarker modeling

Logistic Regression Model Estimates

LRM(x, ...)

## S4 method for signature 'qibm'
LRM(x, coef, N, seed = 123, ...)

## S4 method for signature 'qibmLRM'
describe(x, alpha = 0.05, alternative = c("two.sided",
  "less", "greater"), scale = 1)

`x`	an R object.
`...`	further arguments passed to `with`.
`coef`	two-element vector specifying the logistic regression intercept and slope with which to simulate outcomes.
`N`	scalar or vector of simulated sample sizes.
`seed`	random number seed for the simulations.
`alpha`	significance for statistical testing of the odds ratio.
`alternative`	direction of the alternative hypothesis.
`scale`	value at which to compute the odds ratio