simul_traj

Simulate a trajectory of length <code>n_point</code> using a random generator
associated to different probability distribution.

Implementation of two sample comparison procedures based on
median-based statistical tests for functional data, introduced in
Smida et al (2022) <doi:10.1080/10485252.2022.2064997>. Other
competitive state-of-the-art approaches proposed by Chakraborty and
Chaudhuri (2015) <doi:10.1093/biomet/asu072>, Horvath et al (2013)
<doi:10.1111/j.1467-9868.2012.01032.x> or Cuevas et al (2004)
<doi:10.1016/j.csda.2003.10.021> are also included in the package, as
well as procedures to run test result comparisons and power analysis
using simulations.

Ghislain Durif

funStatTest

Statistical Testing for Functional Data

Zaineb Smida

Lionel Cucala

simul_traj function

<dl><dt>n_point</dt>
<dd>integer value, number of points in the trajectory.</dd>
<dt>distrib</dt>
<dd>character string, type of probability distribution used to
simulate the data among <code>"normal"</code>, <code>"cauchy"</code>, <code>"dexp"</code>, <code>"student"</code>.</dd>
<dt>max_iter</dt>
<dd>integer, maximum number of iteration for the iterative
simulation process.</dd></dl>

Arguments

Zaineb Smida, Ghislain DURIF, Lionel Cucala

Author

Single trajectory simulation — simul_traj

<dl>

<dt>n_point</dt>
<dd>integer value, number of points in the trajectory.</dd>


<dt>distrib</dt>
<dd>character string, type of probability distribution used to
simulate the data among <code>"normal"</code>, <code>"cauchy"</code>, <code>"dexp"</code>, <code>"student"</code>.</dd>


<dt>max_iter</dt>
<dd>integer, maximum number of iteration for the iterative
simulation process.</dd>

</dl>

simul_traj: Single trajectory simulation

Description

Usage

Value

Arguments

Author

References

See Also

Examples