Hello,
I would greatly appreciate some help on this. Any tips are more than
welcome.
I'm trying to obtain the log-likelihood at the optimum parameter values
using spml() from the splm package. The created fit object contains a slot
called logLik which is supposed to have that value but I find it
Will, if your category UM is all zeros, there can be no variance to it, so I
would say that you cannot make any statistical inference about it. Presumably
there is no option of collecting more data? Certainly changing one of the data
points from zero to one gives a cleaner-looking estimate of
Apologies if the following reveals a profound lack of understanding of
spatiality or geostatistics (esp kriging), which I'm learning slowly and
on-the-fly:
summary: for reboxing from a regular global unprojected grid to a
regular local projected grid (both 3D), should one use
* gstat::krige? If
summary: how to use GSIF::make.3Dgrid for general-purpose reboxing, or
3D interpolation? Particularly, can one use varying vertical bounds
rather than the same standard depths for both input and output?
details:
Apologies if the following questions reveal a profound ignorance of
spatiality or
Dear all,
I have very recently started using R for analysing my spatial data. Is
there any way to split the main transect in to smaller ones to check for
autocorrelation at various lags or intervals. For example, I am trying
to split the main transect (approximately of 20Km in length)
