| lmtp_contrast | R Documentation | 
Estimates contrasts of multiple LMTP fits compared to either a known reference value or a reference LMTP fit.
lmtp_contrast(..., ref, type = c("additive", "rr", "or"))
... | 
 One or more objects of class lmtp.  | 
ref | 
 A reference value or another lmtp fit to compare all other fits against.  | 
type | 
 The contrasts of interest. Options are "additive" (the default), "rr", and "or".  | 
A list of class lmtp_contrast containing the following components:
type | 
 The type of contrast performed.  | 
null | 
 The null hypothesis.  | 
estimates | 
 A dataframe containing the contrasts estimates, standard errors, and confidence intervals.  | 
  a <- c("A1", "A2")
  nodes <- list(c("L1"), c("L2"))
  cens <- c("C1", "C2")
  y <- "Y"
  # mean population outcome
  psi_null <- lmtp_tmle(sim_cens, a, y, time_vary = nodes, cens = cens, shift = NULL, folds = 1)
  # treatment rule, everyone is increased by 0.5
  d <- function(data, x) data[[x]] + 0.5
  psi_rule1 <- lmtp_tmle(sim_cens, a, y, time_vary = nodes, cens = cens,
                         shift = d, folds = 1, mtp = TRUE)
  # treatment rule, everyone is decreased by 0.5
  d <- function(data, x) data[[x]] - 0.5
  psi_rule2 <- lmtp_tmle(sim_cens, a, y, time_vary = nodes, cens = cens,
                         shift = d, folds = 1, mtp = TRUE)
  # Example 1.1
  # Additive effect of rule 1 compared to a known constant
  lmtp_contrast(psi_rule1, ref = 0.9)
  # Example 1.2
  # Additive effect of rule 1 compared to the population mean outcome
  lmtp_contrast(psi_rule1, ref = psi_null)
  # Example 1.3
  # Additive effects of rule 1 and 2 compared to the population mean outcome
  lmtp_contrast(psi_rule1, psi_rule2, ref = psi_null)
  # Example 1.4
  # Relative risk of rule 1 compared to observed exposure
  lmtp_contrast(psi_rule1, ref = psi_null, type = "rr")
  # Example 1.5
  # Odds of rule 1 compared to observed exposure
  lmtp_contrast(psi_rule1, ref = psi_null, type = "or")
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