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MAARTS
Merger and Acquisition Autoregressive Time-Series Models
View on CRAN: Click
here
Download and install MAARTS package within the R console
Install from CRAN:
install.packages("MAARTS")
Install from Github:
library("remotes")
install_github("cran/MAARTS") Install by package version:
library("remotes")
install_version("MAARTS", "1.0.0") Attach the package and use:
library("MAARTS")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-26
Latest Update: 2026-07-26
Description:
Implements comprehensive Merger and Acquisition ('M&A') Autoregressive ('AR') time-series models with full statistical analysis capabilities. The package provides parameter estimation, forecasting with confidence intervals (80%, 90%, 95%, 99%), descriptive statistics, stationarity tests (Augmented Dickey-Fuller ('ADF'), Phillips-Perron, Kwiatkowski-Phillips-Schmidt-Shin ('KPSS'), Dickey-Fuller Generalized Least Squares ('DF-GLS')), autocorrelation analysis (Autocorrelation Function ('ACF'), Partial Autocorrelation Function ('PACF')), model diagnostics (Ljung-Box, Box-Pierce), accuracy measures (Mean Squared Error ('MSE'), Mean Absolute Error ('MAE'), Mean Absolute Scaled Error ('MASE'), Root Mean Squared Error ('RMSE'), Symmetric Mean Absolute Percentage Error ('SMAPE'), F-statistic), residual diagnostics (normality tests, heteroscedasticity tests), model stability analysis, impulse response, information criteria (Akaike Information Criterion ('AIC'), Bayesian Information Criterion ('BIC'), Hannan-Quinn Information Criterion ('HQIC')), structural break analysis, spectral analysis, and Monte Carlo simulation. Models are based on: Kumar, Mudassir, and Agiwal (2024) <https://ph02.tci-thaijo.org/index.php/thaistat/article/view/253436>, Kumar, Mudassir, and Srivastava (2025) <doi:10.1007/s44199-025-00104-3>, Kumar and Mudassir (2025) <doi:10.19139/soic-2310-5070-2029>.
How to cite:
Shikhar Tyagi (2026). MAARTS: Merger and Acquisition Autoregressive Time-Series Models. R package version 1.0.0, https://cran.r-project.org/web/packages/MAARTS. Accessed 22 Oct. 2026.
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