Description Usage Arguments Value Examples
This function estimates the parameters used for visualization
1 2 |
logtik.estim |
matrix. It contains the probabilities of classification used for parameter inference (should be sampled from the model parameter or computed from the observations). |
prop |
vector. It contains the class proportions (by default, classes have same proportion). |
logtik.obs |
matrix. It contains the probabilities of classification of the clustered sample. If missing, logtik.estim is used. |
maxit |
numeric. It limits the number of iterations for the Quasi-Newton algorithm (default 1000). |
nbrandomInit |
numeric. It defines the number of random initialization of the Quasi-Newton algorithm. |
nbcpu |
numeric. It specifies the number of CPU (only for linux) |
Returns a list
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | ## Not run:
####### First example with VarSelLCM
# Package loading
require(VarSelLCM)
# Data loading (categorical data)
data("congress")
# Model-based clustering with 3 components
res <- VarSelCluster(congress, 3)
# Inference of the parameters used for results visualization
# (specific for Rmixmod results)
# It is better because probabilities of classification are generated
# by using the model parameters
resvisu <- clusvisVarSelLCM(res)
# Component interpretation graph
plotDensityClusVisu(resvisu)
# Scatter-plot of the observation memberships
plotDensityClusVisu(resvisu, add.obs = TRUE)
####### Second example with Rmixmod
### Package loading
require(Rmixmod)
# Data loading (categorical data)
data(birds)
# Model-based clustering with 3 components
resmixmod <- mixmodCluster(birds, 3)
# Inference of the parameters used for results visualization (general approach)
# Probabilities of classification are not sampled from the model parameter,
# but observed probabilities of classification are used for parameter estimation
resvisu <- clusvis(log(resmixmod@bestResult@proba),
resmixmod@bestResult@parameters@proportions)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.