################################################################################
# #
# Demostration #
# #
################################################################################
demo <- function(model = "CTE",
fold = 5,
g.method,
gps.method,
numOfSamples = 200) {
#set.seed(101) # for reproducibility
curve <- "polynom"
data <- data.generation(
model = model,
numOfSamples = numOfSamples,
numOfPreSamples = NULL,
numOfCovariates = 5,
distributionForCovariates = "normal",
distributionForIVs = "normal",
distributionForNoise = "normal",
distributionForTreatment = "normal",
parametricCurveOption = curve,
trimLowerBound = -4,
trimUpperBound = 4,
sd = 8
)
true.data <-
true.data.generation(
parametricCurveOption = curve,
trimLowerBound = -4,
trimUpperBound = 4
)
print("Data Generating ...")
Sys.sleep(2)
plot(data$t,
data$y,
xlab = "treatment",
ylab = "response")
print("Underlying true curve generating ...")
Sys.sleep(2)
lines(true.data$grid,
true.data$true.y,
col = "red",
lwd = 3)
result <- simulation(
kfold = fold ,
data = data,
method = "CDML",
g.method = g.method,
gps.method = gps.method,
trimLowerBound.t = -4,
trimUpperBound.t = 4,
model = model,
verbose = FALSE
)
lines(true.data$grid,
result$yhat,
col = "blue",
lwd = 3)
result2 <- simulation(
kfold = 1 ,
data = data,
method = "SR",
g.method = g.method,
gps.method = gps.method,
trimLowerBound.t = -4,
trimUpperBound.t = 4,
model = model,
verbose = FALSE
)
lines(true.data$grid,
result2$yhat,
col = "cyan",
lwd = 3)
result3 <- simulation(
kfold = 1 ,
data = data,
method = "HI",
g.method = g.method,
gps.method = gps.method,
trimLowerBound.t = -4,
trimUpperBound.t = 4,
model = model,
verbose = FALSE
)
lines(true.data$grid,
result3$yhat,
col = "purple",
lwd = 3)
}
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