Nothing
methods::setClass (
"xhat",
representation=representation(
xhat="matrix"
)
)
methods::setClass (
"W",
representation=representation(
W="matrix"
)
)
methods::setClass (
"zc",
representation=representation(
zc="vector"
)
)
methods::setClass (
"zcchain",
representation=representation(
zcchain="list"
)
)
methods::setClass (
"zrchain",
representation=representation(
zrchain="vector"
)
)
methods::setClass (
"rho",
representation=representation(
rho="vector"
)
)
methods::setClass (
"rhochain",
representation=representation(
rhochain="list"
)
)
methods::setClass (
"pichain",
representation=representation(
pichain="vector"
)
)
methods::setClass (
"params",
representation=representation(
params="list"
)
)
methods::setClass (
"paramschain",
representation=representation(
paramschain="list"
)
)
methods::setClass (
"dlist",
representation=representation(
dlist="vector"
)
)
# Result for co-clustering
methods::setClass (
"ResultCoclustOrdinal",
# Defining slot type
representation = representation (
V = "matrix",
zr = "vector",
pi = "vector",
m = "vector",
icl = "numeric",
name="character"
),
contains=c("W","zc","rho","params","paramschain","xhat","pichain","rhochain","zrchain","zcchain")
)
# Result for clustering
methods::setClass (
"ResultClustOrdinal",
# Defining slot type
representation = representation (
V = "matrix",
zr = "vector",
pi = "vector",
m = "vector",
icl = "numeric",
name="character"
),
contains=c("params","paramschain","xhat","zrchain","pichain")
)
# Result for classification
methods::setClass (
"ResultClassifOrdinal",
# Defining slot type
representation = representation (
V = "matrix",
zr = "vector",
pi = "vector",
icl = "numeric",
kr = "integer",
kc = "vector",
J = "vector",
number_distrib = "integer",
m = "vector",
nbSEM = "integer",
name="character"
),
contains=c("W","zc","rho","params","dlist","xhat")
)
methods::setClass (
"ResultPredictionOrdinal",
# Defining slot type
representation = representation (
zr_topredict = "vector",
V_topredict = "matrix"
)
)
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