Publications by Rami Krispin
TSstudio 0.1.2
Happy to announce the release of TSstudio 0.1.2 to CRAN. The TSstudio package provides tools for descriptive and predictive analysis of time series data, utilizing the visualization enegin of the plotly package and forecasting models from the forecast, forecastHybrid and bsts packages. Installation Install the stable version from CRAN: install.p...
2943 sym R (1377 sym/7 pcs)
TSstudio 0.1.2
Happy to announce the release of TSstudio 0.1.2 to CRAN. The TSstudio package provides tools for descriptive and predictive analysis of time series data, utilizing the visualization enegin of the plotly package and forecasting models from the forecast, forecastHybrid and bsts packages. Installation Install the stable version from CRAN: install.p...
2943 sym R (1377 sym/7 pcs)
TSstudio 0.1.3
I used the Thanksgiving break to push a new update of the TSstudio package to CRAN (version 0.1.3). The new version includes an update for the ts_backtesting function along with two new function – ts_to_prophet for converting time series objects to a prophet input format (i.e., ds and y columns), and ccf_plot for lags plot between two time seri...
2174 sym R (1802 sym/5 pcs)
TSstudio 0.1.5 on CRAN
A new version (0.1.5) of the TSstudio package was pushed to CRAN last month. The release includes new functions as well as bug fixing, and update of the package license (modified from GPL-3 to MIT). New features train_model – a flexible framework for training, testing, evaluating, and forecasting models. This function provides the ability to ...
1463 sym
Introduction to the forecastLM package
I am pleased to announce a new R package – forecastLM. The package, as the name implies, provides applications for forecasting regular time series data with a linear regression model (based on the lm function from the stats package). It supports both ts and tsibble objects as inputs and enables simple extractions of features from the input obje...
6201 sym R (11106 sym/13 pcs)
Introduction to the forecastLM package
I am pleased to announce a new R package – forecastLM. The package, as the name implies, provides applications for forecasting regular time series data with a linear regression model (based on the lm function from the stats package). It supports both ts and tsibble objects as inputs and enables simple extractions of features from the input obje...
6201 sym R (11106 sym/13 pcs)
covid19italy v0.2.0 is now on CRAN
Last week I pushed an update of the covid19italy package to CRAN (v0.2.0). The covid19italy R package provides a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) pandemic outbreak in Italy. The package includes the following three datasets: italy_total – daily summary of the outbreak on the national level italy_region –...
2822 sym R (437 sym/3 pcs)
covid19italy v0.2.0 is now on CRAN
Last week I pushed an update of the covid19italy package to CRAN (v0.2.0). The covid19italy R package provides a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) pandemic outbreak in Italy. The package includes the following three datasets: italy_total – daily summary of the outbreak on the national level italy_region –...
2822 sym R (437 sym/3 pcs)
coronavirus v0.2.0 is now on CRAN
Version 0.2.0 of the coronavirus R data package was pushed today to CRAN. The coronavirus package provides a tidy format for Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus dataset. Version 0.2.0 catch up with the significant changes in the data that took place since the initial release on February 24, c...
3930 sym R (2644 sym/9 pcs)
coronavirus v0.2.0 is now on CRAN
Version 0.2.0 of the coronavirus R data package was pushed today to CRAN. The coronavirus package provides a tidy format for Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus dataset. Version 0.2.0 catch up with the significant changes in the data that took place since the initial release on February 24, c...
3930 sym R (2644 sym/9 pcs)