Nothing
## -----------------------------------------------------------------------------
library(geex)
library(dplyr)
set.seed(42)
n <- 1000
data1 <- data_frame(
ID = 1:n,
Y_tau = rbinom(n,1,0.2),
S_star = rbinom(n,1,0.6),
Y = rbinom(n,1,0.4),
Z = rbinom(n,1,0.5))
data2 <- data1 %>% group_by(Y_tau, S_star, Y, Z) %>% count()
## -----------------------------------------------------------------------------
example <- function(data) {
function(theta) {
with(data,
c( (1 - Y_tau)*(1 -Z )*(Y - theta[1]),
(1-Y_tau)*Z*(Y-theta[2]),
theta[3] - theta[2]*theta[1]))
}
}
## -----------------------------------------------------------------------------
system.time({
results1 <- m_estimate(
estFUN = example,
data = data1,
root_control = setup_root_control(start = c(.5, .5, .5))
)})
system.time({
results2 <- m_estimate(
estFUN = example,
data = data2,
weights = data2$n,
root_control = setup_root_control(start = c(.5, .5, .5))
)})
## -----------------------------------------------------------------------------
roots(results1)
roots(results2)
vcov(results1)
vcov(results2)
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