library("tinyplot")
# "glm" type convenience string
tinyplot(am ~ mpg, data = mtcars, type = "glm")
# Use `type_glm()` to pass extra arguments for customization
tinyplot(am ~ mpg, data = mtcars, type = type_glm(family = "binomial"))
Type function for plotting a generalized model fit. Arguments are passed to glm.
type_glm(family = "gaussian", se = TRUE, level = 0.95, type = "response")
family
 | 
a description of the error distribution and link function to be used in the model. For glm this can be a character string naming a family function, a family function or the result of a call to a family function. For glm.fit only the third option is supported. (See family for details of family functions.)
 | 
se
 | 
logical. If TRUE, confidence intervals are drawn. | 
level
 | 
the confidence level required. | 
type
 | 
character, partial matching allowed. Type of weights to extract from the fitted model object. Can be abbreviated. |