tern.gee (version 0.1.5)

lsmeans: Extract Least Square Means from a GEE Model

Description

Extract Least Square Means from a GEE Model

Usage

lsmeans(
  object,
  conf_level = 0.95,
  weights = "proportional",
  specs = object$vars$arm,
  ...
)
# S3 method for tern_gee_logistic
lsmeans(
  object,
  conf_level = 0.95,
  weights = "proportional",
  specs = object$vars$arm,
  ...
)

Value

A data.frame with least-square means and contrasts. Additional classes allow to dispatch downstream methods correctly, too.

Arguments

object

(tern_gee)
result of fit_gee().

conf_level

(proportion)
confidence level

weights

(string)
type of weights to be used for the least square means, see emmeans::emmeans() for details.

specs

(string or formula) specifications passed to emmeans::emmeans()

...

additional arguments for methods

Examples

df <- fev_data
df$AVAL <- rbinom(n = nrow(df), size = 1, prob = 0.5)
fit <- fit_gee(vars = vars_gee(arm = "ARMCD"), data = df)

lsmeans(fit)

lsmeans(fit, conf_level = 0.90, weights = "equal")