envelope.Laplace {L1pack} | R Documentation |
QQ-plot with simulated envelopes
Description
Constructs a normal QQ-plot using a Wilson-Hilferty transformation for the estimated Mahalanobis distances obtained from the LaplaceFit
procedure.
Usage
envelope.Laplace(object, reps = 50, conf = 0.95, plot.it = TRUE)
Arguments
object |
an object of class |
reps |
number of simulated point patterns to be generated when computing the envelopes. The default number is 50. |
conf |
the confidence level of the envelopes required. The default is to find 95% confidence envelopes. |
plot.it |
if |
Value
A list with the following components :
transformed |
a vector with the |
envelope |
a matrix with two columns corresponding to the values of the lower and upper pointwise confidence envelope. |
References
Atkinson, A.C. (1985). Plots, Transformations and Regression. Oxford University Press, Oxford.
Osorio, F., Galea, M., Henriquez, C., Arellano-Valle, R. (2023). Addressing non-normality in multivariate analysis using the t-distribution. AStA Advances in Statistical Analysis 107 785-813.
Vallejos, R., Osorio, F., Ferrer, C. (2025+). A new coefficient to measure agreement between continuous variables. Working paper.