sl.sim: Dose-finding simulations for a list of scenarios
In tsdf: Two-/Three-Stage Designs for Phase 1&2 Clinical Trials

Description Usage Arguments Details Value Author(s) Examples

Run dose-finding simulations based on a customized decision table for a list of scenarios.

1	sl.sim(decTable, file, header = TRUE, sep = ",", ...)

`decTable`	A customized decision table. (same format as output of `dec.table`)
`file`	The name of the file which the data are to be read from. See details in `read.table`.
`header`	A logical value indicating whether the file contains the names of the variables as its first line. Default is `FALSE`. See details in `read.table`.
`sep`	The field separator character. Default is `","`. See details in `read.table`.
`...`	arguments to be passed to `read.table` methods.

In each line of the input file, the parameters must be ordered in accordance as follows: pt, start.level, nsim, truep. See details in read.table. The algorithm for dose-finding is described in dec.sim.

The function summary is used to obtain and print a summary table of the results. An object of class "dec.sim" (1 scenario) or "sl.sim" (more than 1 scenarios)is a list containing:

`MTD`	A vector of dose levels giving the recommended maximum tolerated dose (MTD) at the end of the trial.
`n.patients`	The average number of patients dosed at each level.
`truep`	input; true probabilities of toxicity.
`start.level`	input; starting dose level.
`nsim`	input; number of simulated trails.

Wenchuan Guo <wguo007@ucr.edu>

dt <- dec.table(0.6,0.4,0.2,0.3,c(3,3,3))
test.file <- system.file("extdata", "testS.csv", package = "tsdf")
# use a customized decision table
table.file <- system.file("extdata", "decTable.csv", package = "tsdf")
dec <- read.table(table.file, sep=",", col.names=c(3,4,8,10), row.names = 1, check.names = FALSE)
out1 <- sl.sim(dt$table, test.file)
out2 <- sl.sim(dec, test.file)