analyseplot_shift: Estimate a single trajectory shift in the beta distribution...
In simonpcastillo/CPAD: The Non-linear Spread of SARS-CoV-2

Description Usage Arguments Details Value Author(s) References Examples

View source: R/analyseplot_shift.R

This function calculates and plots a single shift in the temporal evolution of the estimated parameters of beta distribution $\hat\alpha$ and $\hat\beta$

analyseplot_shift(
  CPAD,
  print.plot = TRUE,
  saveplot = TRUE,
  saveplot.ext = ".png"
)

`CPAD:`	dataframe. The dataframe returned by `analyse_CPAD`.
`saveplot:`	`TRUE` or `FALSE`. Save the plots in your `wd`.Default `TRUE`.
`saveplot.ext:`	character. The extension for the saved figures admitted by `ggsave` (e.g., `".png"`, `".svg"`).Default `".png"`.

The estimation of the single transition in the temporal trajectories of $\hat\alpha$ and $\hat\beta$ is performed via minimisaiton of the residual squared sum (RSS) (Bai. 1994).

This function returns to your global environment an object list named plotbetatraj with the plot(s) created. Also, if saveplot is TRUE, a folder named betaplots in the folder plots is created in your wd.

Also, this function returns a numeric object plotShift to your Global Environment, it is the esitmated date of the single transition.

Simon P Castillo spcastil@uc.cl.

J. M. Box-Steffensmeier, J. R. Freeman, M. P. Hitt, J. C. W. Pevehouse, Time Series Analysis for the Social Sciences (Cambridge University Press, 2014).

J. Bai, Least Squares Estimation of a Shift in Linear Processes. Journal of Time Series Analysis. 15, 453–472 (1994).