Longest increasing subsequence for a univariate sample

Description

It compute the size of the longest increasing subsequence from a sample of a (continuous) random variable.

Usage

lis(x)

Arguments

Details

See example 2.1-Main reference.

Value

Integer, the size of the longest increasing subsequence.

Author(s)

J. E. Garcia and V. A. Gonzalez-Lopez

References

J. E. Garcia, V. A. Gonzalez-Lopez, Independence tests for continuous random variables based on the longest increasing subsequence, Journal of Multivariate Analysis (2014), http://dx.doi.org/10.1016/j.jmva.2014.02.010

Examples

#see Example 2.1 (reference)
a<-lis(c(3,6,1,7,4,2,5,8))
a

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> library(LIStest)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LIStest/lis.Rd_%03d_medium.png", width=480, height=480)
> ### Name: lis
> ### Title: Longest increasing subsequence for a univariate sample
> ### Aliases: lis
> ### Keywords: ~longest increasing subsequence ~copula
> 
> ### ** Examples
> 
> #see Example 2.1 (reference)
> a<-lis(c(3,6,1,7,4,2,5,8))
> a
[1] 4
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>