coeffs: GLM Coefficients Summary
In DrPaulWilliamson/ENVS450: Helper functions for ENVS450

Description Usage Arguments Value Author(s) Examples

Reports GLM regression model coefficients alongside associated standard error, z-score, p-value and odds-ratio [exp(B)], plus, optionally, confidence intervals.

1	coeffs(model, conf.int=FALSE)

`model`	The fitted `model` from a general linear model.
`conf.int`	If `TRUE` the confidence intervals of each regression coefficient are reported in addition to the standard outputs. The default (`FALSE`) is not to report the confidence intervals.

A data frame (one row per regression coefficient) comprising:

`B`	Regression coefficient
`Std.Error`	The standard error of the regression coefficient
`z.value`	The z-score of the standard error
`p.value`	The significance level (p-value) of the regression coefficient
`expB`	The odds ratio (exponent of the regression coefficient)
`CI.L95pct`	The lower bound of the 95% Confidence Interval
`CI.U95pct`	The upper bound of the 95% Confidence Interval

Paul Williamson

## Fit logistic regression model
model <- glm(Sex ~ Age, data=survey, family=binomial)

## Standard function output
coeffs(model)

## Standard output plus confidence intervals
coeffs(model, conf.int=TRUE)