R : Copyright 2005, The R Foundation for Statistical Computing
Version 2.1.1  (2005-06-20), ISBN 3-900051-07-0

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> ### * <HEADER>
> ###
> attach(NULL, name = "CheckExEnv")
> assign(".CheckExEnv", as.environment(2), pos = length(search())) # base
> ## add some hooks to label plot pages for base and grid graphics
> setHook("plot.new", ".newplot.hook")
> setHook("persp", ".newplot.hook")
> setHook("grid.newpage", ".gridplot.hook")
> 
> assign("cleanEx",
+        function(env = .GlobalEnv) {
+ 	   rm(list = ls(envir = env, all.names = TRUE), envir = env)
+            RNGkind("default", "default")
+ 	   set.seed(1)
+    	   options(warn = 1)
+ 	   delayedAssign("T", stop("T used instead of TRUE"),
+ 		  assign.env = .CheckExEnv)
+ 	   delayedAssign("F", stop("F used instead of FALSE"),
+ 		  assign.env = .CheckExEnv)
+ 	   sch <- search()
+ 	   newitems <- sch[! sch %in% .oldSearch]
+ 	   for(item in rev(newitems))
+                eval(substitute(detach(item), list(item=item)))
+ 	   missitems <- .oldSearch[! .oldSearch %in% sch]
+ 	   if(length(missitems))
+ 	       warning("items ", paste(missitems, collapse=", "),
+ 		       " have been removed from the search path")
+        },
+        env = .CheckExEnv)
> assign("..nameEx", "__{must remake R-ex/*.R}__", env = .CheckExEnv) # for now
> assign("ptime", proc.time(), env = .CheckExEnv)
> grDevices::postscript("rqmcmb2-Examples.ps")
> assign("par.postscript", graphics::par(no.readonly = TRUE), env = .CheckExEnv)
> options(contrasts = c(unordered = "contr.treatment", ordered = "contr.poly"))
> options(warn = 1)    
> library('rqmcmb2')
Loading required package: quantreg
quantreg package loaded
quantreg now includes the nlrq and nprq packages
[1] "rqmcmb2 library loaded"
> 
> assign(".oldSearch", search(), env = .CheckExEnv)
> assign(".oldNS", loadedNamespaces(), env = .CheckExEnv)
> cleanEx(); ..nameEx <- "rqmcmb"
> 
> ### * rqmcmb
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: rqmcmb
> ### Title: Markov Chain Marginal Bootstrap for Quantile Regression
> ### Aliases: rqmcmb
> ### Keywords: regression robust
> 
> ### ** Examples
> 
>   library(quantreg)
>   
>   x <- cbind(rnorm(100), runif(100))
>   y <- rnorm(100)
> 
>   #generate the MCMB sequence:
>   mcmb <- rqmcmb(x, y, tau=.5, plotTheta=FALSE)
RQMCMB is running.
> 
>   #get MCMB estimates of mean, SD, and CI:
>   rqmcmb.ci(mcmb)
           Coef        SD          L         U
[1,] -0.1191437 0.2478891 -0.5268850 0.2885977
[2,] -0.1088894 0.1506985 -0.3567663 0.1389875
[3,]  0.4127565 0.4798704 -0.3765601 1.2020731
> 
>   #plot the MCMB sequences:
>   rqmcmb.plot(mcmb)
>   
> 
> 
> 
> 
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", env = .CheckExEnv),"\n")
Time elapsed:  0.15 0.01 0.16 0 0 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')