I have thise problem in work with the function variofit and nls and dont know
how to solve it.
var1-variog(data,option=bin)
var2-variog(data,option=cloud)
v1-var1$v
u1-var1^u
v2-var2$v
u2-var2$u
variofit(var1,ini.cov.pars=c(0.005,1.5),cov.model=power,fix.nugget=F,weight=equal)
variofit:
Hello.
Error in optim(ini, .loss.vario, method = L-BFGS-B, hessian = TRUE, :
non-finite value supplied by optim
I have this errore in fit the modelpower in simulation with the function
g-function(n=100,max=100,c0=0,ce=.005,ae=1.5,nsim=1000){
var.exp-function(c0,ce,ae,h){
Hello.
Error in optim(ini, .loss.vario, method = L-BFGS-B, hessian = TRUE, :
non-finite value supplied by optim
I have this errore in fit the modelpower in simulation with the function
g-function(n=100,max=100,c0=0,ce=.005,ae=1.5,nsim=1000){
var.exp-function(c0,ce,ae,h){
Dear list.
I am student M.S. statistics in department statistics .I have thise problem in
work with the function variofit and nls and dont know how to solve it.
var1-variog(data,option=bin)
var2-variog(data,option=cloud)
v1-var1$v
u1-var1^u
v2-var2$v
u2-var2$u
dear list
I am student M.S. statistics in department statistics . I am working in the
function nls in the [R 2.3.1] with 246 data and want to fit a model to
vectors( v and u ) but I have
a problem to use it
u
5.00e-13 2.179057e+03 6.537171e+03 1.089529e+04 1.525340e+04
1.961151e+04
dear list
I am student M.S. statistics in department statistics . I am working in the
function nls in the [R 2.3.1] with 246 data and want to fit a model to
vectors( v and u ) but I have
a problem to use it
u
5.00e-13 2.179057e+03 6.537171e+03 1.089529e+04 1.525340e+04
1.961151e+04
dear list
I am student M.S. statistics in department statistics . I am working in the
function nls in the [R 2.3.1] with 246 data and want to fit the exp model
to vectors( v and u ) but I have
a problem to use it
u
5.00e-13 2.179057e+03 6.537171e+03 1.089529e+04 1.525340e+04
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