This package is hidden from search results because it is not hosted in the universe of the upstream ownerthierrymoudiki. To fix this you can add URL: https://techtonique.r-universe.dev/simulatetimeseries to the package DESCRIPTION file. See also theR-universe documentation.

Package: simulatetimeseries 0.2.1

T. Moudiki

simulatetimeseries: Time Series dataset collection (real-world and synthetic)

Collection of functions for simulating various types of time series data and accessing real-world time series datasets.

Authors:T. Moudiki [aut, cre]

# Install 'simulatetimeseries' in R:

install.packages('simulatetimeseries', repos = c('https://techtonique.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/thierrymoudiki/simulatetimeseries/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

ts_dataset - Time Series Dataset Collection

On CRAN:

cpp

1.30 score 5 scripts 27 exports 167 dependencies

Last updated from:a2313321a9. Checks:11 WARNING, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	WARNING	246
linux-devel-x86_64	WARNING	224
source / vignettes	OK	281
linux-release-arm64	WARNING	249
linux-release-x86_64	WARNING	221
macos-release-arm64	WARNING	129
macos-release-x86_64	WARNING	216
macos-oldrel-arm64	WARNING	93
macos-oldrel-x86_64	WARNING	239
windows-devel	WARNING	152
windows-release	WARNING	186
windows-oldrel	WARNING	132
wasm-release	OK	201

Exports:check_list_contains create_correlation_matrix debug_print expand_sd_rcpp expand_sd_rcpp_fast gan get_data_1 lstmf martingale_test meboot meboot_approx meboot_part_rcpp rbootstrap removenas rfitdistr rgan rgan_auto rgaussiandens rsurrogate simpson_integral_cpp simulate_correlated_gaussian simulate_time_series_1 simulate_time_series_2 simulate_time_series_3 simulate_time_series_4 splitts train_gan

Dependencies:ahead askpass astsa backports base64enc bit bit64 blob broom bslib cachem callr cellranger cli clipr codetools colorspace config conflicted cpp11 crayon curl data.table DBI dbplyr Deriv digest doSNOW dotty dplyr dtplyr evaluate expsmooth farver fastmap fma fontawesome forcats foreach forecast fpp2 fracdiff fs gargle generics ggplot2 glmnet glue googledrive googlesheets4 greybox gtable haven here highr hms htmltools httr ids isoband iterators jquerylib jsonlite keras3 knitr labeling lattice lifecycle lmtest lubridate magrittr MAPA MASS Matrix memoise mime misc modelr multitaper neuralnet nlme nloptr nnet nnfor openssl pillar pkgconfig plotrix png PolynomF pracma prettyunits processx progress ps purrr quadprog quantmod R6 ragg randtoolbox rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppTOML readr readxl rematch rematch2 reprex reticulate rlang rmarkdown rngWELL rprojroot rstudioapi rvest S7 sass scales selectr shape signal smooth snow statmod stringi stringr survival sys systemfonts tensorflow texreg textshaping tfautograph tfruns tibble tidyr tidyselect tidyverse timechange timeDate tinytex tseries tsutils tswge TTR tzdb urca uroot utf8 uuid vctrs viridisLite vroom waveslim whisker withr xfun xml2 xtable xts yaml zeallot zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Time Series dataset collection (real-world and synthetic)	simulatetimeseries-package simulatetimeseries
Check if a list contains an object	check_list_contains
create correlation matrix	create_correlation_matrix
Print a variable for debugging	debug_print
Get data 1	get_data_1
LSTM Forecasting for Financial Returns	lstmf
Martingale Test for Time Series	martingale_test
Maximum Entropy Bootstrap for Time Series using Rcpp	meboot
Simulate using bootstrap resampling	rbootstrap
Simple function using Rcpp	rcpp_hello_world
Remove NA values from a time series	removenas
Simulate from parametric distribution	rfitdistr
Generate Synthetic Data using GANs	rgan
Simulate Gaussian Kernel Density	rgaussiandens
Simulate using surrogate data	rsurrogate
Simulate Correlated Gaussian Random Variables	simulate_correlated_gaussian
Simulate Univariate Time Series Dataset 1	simulate_time_series_1
Simulate a univariate time series dataset 2	simulate_time_series_2
Simulate a univariate time series dataset 3	simulate_time_series_3
Simulate a univariate time series dataset 4	simulate_time_series_4
split time series sequentially	splitts
Train a Simple GAN Model	train_gan
Time Series Dataset Collection	ts_dataset