Methods for polyreg objects

S3 methods to extract coefficients, variance-covariance matrix, sample size, formatted summaries, and tidy/glance/augment from objects returned by polyreg().

Usage

# S3 method for class 'polyreg'
coef(object, ...)

# S3 method for class 'polyreg'
vcov(object, type = c("default", "sandwich", "bootstrap"), ...)

# S3 method for class 'polyreg'
nobs(object, ...)

# S3 method for class 'polyreg'
summary(object, ...)

# S3 method for class 'summary.polyreg'
print(x, digits = 3, ...)

effect_label.polyreg(
  x,
  event = c("event1", "event2"),
  add.time.point = TRUE,
  add.outcome = TRUE,
  add.exposure.levels = TRUE,
  add.conf = TRUE,
  add.p = TRUE,
  value.time = NULL,
  unit.time = NULL,
  digits = 2,
  p_digits = 2,
  p_cut = 0.05,
  ...
)

# S3 method for class 'polyreg'
tidy(x, event = c("event1", "event2", "both"), ...)

# S3 method for class 'polyreg'
glance(x, event = c("event1", "event2"), ...)

# S3 method for class 'polyreg'
augment(x, ...)

Arguments

object: A polyreg object returned by polyreg().
...: Further arguments passed to or from methods.
type: Character string; one of "default", "sandwich", or "bootstrap". When "default", the function chooses between sandwich and bootstrap variance based on the original polyreg() settings, using outcome.type, report.sandwich.conf, and report.boot.conf. (Used only by vcov.polyreg().)
x: Object to be printed or summarised. Typically a "summary.polyreg" object for print.summary.polyreg(), or a "polyreg" object for tidy.polyreg(), glance.polyreg(), augment.polyreg(), and effect_label.polyreg().
digits: Number of digits to print for parameter estimates or effect measures. Used by print.summary.polyreg() and effect_label.polyreg().
event: Character string indicating which event to extract. For effect_label.polyreg() and glance.polyreg() this is one of "event1" or "event2". For tidy.polyreg() it can also be "both" to return rows for all events.
add.time.point: Logical; if TRUE, effect_label.polyreg() appends the time point to the label (e.g., “at 5 years”).
add.outcome: Logical; if TRUE, effect_label.polyreg() appends the outcome/event description (e.g., “of event 1”).
add.exposure.levels: Logical; if TRUE, effect_label.polyreg() includes the exposure level in the label (e.g., treatment group).
add.conf: Logical; if TRUE, effect_label.polyreg() includes a confidence interval in the label.
add.p: Logical; if TRUE, effect_label.polyreg() includes a p-value or thresholded p-value (e.g. p < 0.05).
value.time: Optional numeric value overriding the time point stored in the "polyreg" object when constructing labels in effect_label.polyreg().
unit.time: Optional character string giving the time unit to display in labels constructed by effect_label.polyreg(), such as "years" or "months".
p_digits: Integer; number of digits used to format p-values in effect_label.polyreg().
p_cut: Numeric threshold used by effect_label.polyreg() to decide between printing p < p_cut and an exact p-value.

Value

coef.polyreg() returns a numeric vector of regression coefficients.
vcov.polyreg() returns a variance-covariance matrix.
nobs.polyreg() returns the number of observations.
summary.polyreg() returns a list of tidy and glance summaries by event.
print.summary.polyreg() is called for its side effect of printing a formatted, modelsummary-like table to the console and returns x invisibly.
tidy.polyreg() returns a data frame of tidy coefficients by event.
glance.polyreg() returns a data frame of model-level summaries by event.
augment.polyreg() returns an augmented data frame containing diagnostics, weights, and predicted CIFs.

Usage

Arguments

Value

See also