IOLS (version 0.1.4)

iOLS_plot: iOLS_plot

Description

Function that plots an iOLS fitted model object.

Usage

iOLS_plot(m, ..., plot_beta = "")

Value

a plot of an iOLS fitted model object.

Arguments

m

An iOLS fitted model object.

...

other parameters.

plot_beta

If you want to see the trajectory of one estimated parameter beta only, just precise plot_beta = k (k=0 if you want to see the intercept's trajectory for example). Otherwise, write plot_beta = "" (the default value), and you will see all parameters' trajectory. In this case, the colors of each curve is assigned randomly, but by precising which parameters' trajectory you want to see, it will be drawn in black.

Examples

data(DATASET)
y = DATASET$y
x = as.matrix(DATASET[,c("X1","X2")])
lm = lm(log(y+1) ~ x)
lm_coef = c(coef(lm))
X = cbind(rep(1, nrow(x)), x)
tX = t(X)
library(matlib) ; VX = inv(tX %*% X)
f = iOLS(y, X, VX, tX, 20, b_init = lm_coef)

iOLS_plot(f)

#Only one of the estimated parameters, for example k=0 (the intercept):
iOLS_plot(f, plot_beta = 0)