univAndMultiGLM: Make a table with univariable and multivariable logistic...
In Oromendia/oromendia: Clara Oromendia's suite of R functions

Given a dataset, make two column output with univariable results for each predictor, and second column with single multivariable model

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univAndMultiGLM(outcome, covars_uni, covars_multi = NULL, p_multiV = 0.05,
  family = "binomial", file = "", d = 2, d_pVal = 3, CIs = TRUE,
  z0 = 1.96, name = "GLM", widthCharCol = 6, markdown = FALSE)

`outcome`	Vector of outcome
`covars_uni`	Matrix with columns to be used in univariable models
`covars_multi`	Matrix with columns to be used in multivariable models. If NULL, univariable predictors with p < 0.05 will be used.
`p_multiV`	ANOVA p-value threshold used for inclusion in multiariable model. Ignored if covars_multi passed in.
`family`	Model family for GLM: "binomial", "gaussian", "poisson".
`file`	File name for LaTeX output to be sent to.
`d`	Decimal places used for HR and confidence interval.
`d_pVal`	Decimal places used for p value.
`CIs`	Logical to indicate whether confidence intervals should be printed.
`z0`	Critical value used for confidence interval.
`name`	Name of model to be used for caption
`widthCharCol`	Width of first column with predictor names and levels.
`markdown`	Boolean to indicate that output be compatible with markdown rather than LaTeX.