Catalogues of resolution IV 128 run 2-level fractional
factorials up to 33 factors that do have 5-letter words
This package provides catalogues of resolution IV regular
fractional factorial designs in 128 runs for up to 33 2-level
factors. The catalogues are complete, excluding resolution IV
designs without 5-letter words, because these do not add value
for a search for clear designs. The previous package version
1.0 with complete catalogues up to 24 runs (24 runs and a
namespace added later) can be downloaded from the authors
website.

Catalogues of Resolution IV 128 Run 2-Level Fractional
Factorials Up to 33 Factors that Do Have 5-Letter Words
Catalogues of resolution IV regular
fractional factorial designs in 128 runs are provided
for up to 33 2-level factors. The catalogues are complete,
excluding resolution IV designs without 5-letter words,
because these do not add value for a search for unblocked
clear designs. The previous package version
1.0 with complete catalogues up to 24 runs (24 runs and a
namespace added later) can be downloaded from the authors
website.

c(person("Neringa", "Urbonaite", email = "neringa.urbonaite@mif.vu.lt", role = c("aut", "cre")),
person("Leonidas", "Sakalauskas", email = "leonidas.sakalauskas@mif.vu.lt", role = c("aut")))
Neringa Urbonaite [aut, cre],
Leonidas Sakalauskas [aut]
Aim is to provide fractional Brownian vector field generation algorithm, Hurst parameter estimation method and fractional kriging model for multivariate data modeling.

The functions provided in FracSim perform simulation of one- and two-dimensional fractional and multifractional Lévy motions

Estimation of Parameters p and q for Randomized Sierpinski
Carpet for [p-p-p-q]-Model
The parameters p and q are estimated with the aid of randomized Sierpinski Carpet which is built on [p-p-p-q]-model. Thereby, for three times simulation with p-value and once with q-value is assumed. Hence these parameters are estimated and displayed.

Simulation and Parameter Estimation of Randomized Sierpinski
Carpets using the p-p-p-q-Model
Philipp Hermann, Jozef Kiselak, Milan Stehlik
The parameters p and q are estimated with the aid of a randomized Sierpinski Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a simulation with a p-value and once with a q-value is assumed. Hence, these parameters are estimated and displayed. Moreover, functions for simulating random Sierpinski-Carpets with constant and variable probabilities are included.