plotMP: plotting mass points In gamlss.mx: Fitting Mixture Distributions with GAMLSS

Description

A utility function for plotting two dimension non-parametric distribution. The function uses the `persp()` function.

Usage

 ```1 2``` ```plotMP(x, y, prob, theta = 20, phi = 20, expand = 0.5, col = "lightblue", xlab = "intercept", ylab = "slope", ...) ```

Arguments

 `x` a vector containg points in the x axis `y` a vector containg points in the y axis `prob` vector containing probabilities which should add up to one `theta, phi, expand, col` arguments to pass to the `persp()` function `xlab` the x label `ylab` the y label `...` additinal argument to be passed to `persp()`

Details

The function call

Value

A graph is produced.

Author(s)

Mikis Stasinopoulos

References

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.

`gamlssNP`, `persp`
 ```1 2 3 4``` ``` gamma_0 <- c( -4.4, -3,-2.2, -.5, 0.1, 1, 1.5, 2.2, 3.5, 4.1 ) gamma_1 <- c( 2.2, 1.2, 0.1, -1, -2.3, -4.6 , 5.1, -3.2, 0.1, -1.2) prob <- c(0.1, .05, .12, 0.25, 0.08, 0.12, 0.10, 0.05, 0.10, 0.03 ) plotMP(gamma_0, gamma_1,prob) ```