View source: R/extraFunctions.R
draw.polys | R Documentation |
This set of functions were useful in the past to get information and to plot maps but somehow now seem redundant.
draw.polys(polys, object = NULL, scheme = NULL,
swapcolors = FALSE, n.col = 100, ...)
polys2nb(polys)
nb2prec(neighbour,x,area=NULL)
polys2polys(object, neighbour.nb)
nb2nb(neighbour.nb)
polys |
an object containing the polygon information for the area |
object |
are either the values to plot in the |
scheme |
scheme of colours to use, it can be |
swapcolors |
to reverse the colours, it just work for |
n.col |
range for the colours |
neighbour.nb |
neighbour information for a shape file for function |
neighbour |
the neighbour information, and if the neighbour is from S4 shape file than use |
x |
the factor defining the areas |
area |
all possible areas involved |
... |
for extra options |
draw.polys()
plots the fitted values of fitted MRF
object.
polys2nb()
gets the neighbour information from the polygons.
nb2prec()
creates the precision matrix from the neighbour information.
polys2polys()
transforms a shape file polygons (S4 object) to the polygons required form for the functions MRF()
and MRFA()
.
nb2nb()
transforms from a shape file neighbour (S4 object) to the neighbour required form for functions MRF()
.
The draw.polys()
produces a plot while the rest of the functions produce required object for fitting or plotting.
Fernanda De Bastiani, Mikis Stasinopoulos, Robert Rigby and Vlasios Voudouris
Maintainer: Fernanda <fernandadebastiani@gmail.com>
De Bastiani, F. Rigby, R. A., Stasinopoulos, D. M., Cysneiros, A. H. M. A. and Uribe-Opazo, M. A. (2016) Gaussian Markov random spatial models in GAMLSS. Journal of Applied Statistics, pp 1-19.
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/.
Rue and Held (2005) Gaussian markov random fields: theory and applications, Chapman & Hall, USA.
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.
(see also https://www.gamlss.com/).
MRF
, MRFA
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