In StevenGolovkine/simulater: Simulate functional data based on real datasets

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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simulater

simulater is an R-package that allows users to generated realistic functional dataset. The simulated data can be irregularly sampled. It is based on an estimation of the mean, covariance and noise functions of the real data.

Installation

To install the latest version directly from GitHub, please use

# install.packages("devtools")
devtools::install_github("StevenGolovkine/simulater")

To build the vignette as well, please use

# install.packages("devtools")
devtools::install_github("StevenGolovkine/simulater", build_vignettes = TRUE)

Dependencies

The simulater package depends on the R-packages fdapace, glmnet, magrittr, mgcv, MASS and purrr.

Bug reports

Please use GitHub issues for reporting bugs or issues.

StevenGolovkine/simulater documentation built on April 4, 2022, 5:04 a.m.