View source: R/Plot_function_for_empirical_distributions.R
| Plot_dens | R Documentation |
Plots the densities of the parameters (alpha,H,sigma) estimated in Monte-Carlo experiment.
Works in conjunction with MCestimLFSM function.
Plot_dens(par_vec = c("alpha", "H", "sigma"), MC_data, Nnorm = 1e+07)
par_vec |
vector of parameters which are to be plotted |
MC_data |
a list created by |
Nnorm |
number of point sampled from standard normal distribution |
Plot_vb to plot variance- and bias dependencies on n.
m<-45; M<-60
p<-.4; p_prime<-.2
t1<-1; t2<-2; k<-2
NmonteC<-5e2
S<-c(1e3,1e4)
alpha<-.8; H<-0.8; sigma<-0.3
theor_4_1_clt_new<-MCestimLFSM(s=S,fr='L',Nmc=NmonteC,
m=m,M=M,
alpha=alpha,H=H,sigma=sigma,
GenLowEstim,t1=t1,t2=t2,p=p)
l_plot<-Plot_dens(par_vec=c('sigma','alpha','H'), MC_data=theor_4_1_clt_new, Nnorm=1e7)
l_plot
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.