A list with all the fits that have variables that are to
be identified through the regular expression
A regular expression identifying the variables
that are of interest of comparing. For instance it can be "(score|index|measure)"
that finds scores in different models that should be compared.
Additional reference names to be added to each model
A function that takes a rowname and sees if it needs
beautifying. The function has only one parameter the coefficients name and should
return a string or expression.
The text of the estimate, usually HR for hazard ratio, OR for
Report in exponential form. Default true since the function was built for
use with survival models.
If you want that the first variable should be reference for
that group of variables. The ref is a variable with the estimate 1 or 0 depending
if exp() and the confidence interval 0.
Text instead of estimate number
If add_first_as_ref is TRUE then this vector is used for the model
Number of digits to use for the estimate output
A vector indicating by TRUE/FALSE if
the value is a summary value which means that it will have a different
Indicates what is zero effect. For survival/logistic fits the zero is
1 while in most other cases it's 0.
If TRUE, x-axis tick marks are to follow a logarithmic scale, e.g. for
logistic regressoin (OR), survival estimates (HR), poisson regression etc.
Note: This is an intentional break with the original forestplot
function as I've found that exponentiated ticks/clips/zero effect are more
difficult to for non-statisticians and there are sometimes issues with rounding
the tick marks properly.