predictboth {ClusPred}

Prediction (clustering and target variable)

Description

Prediction for new observations

Usage

predictboth(x, u = NULL, result, np = FALSE)

Arguments

x

covariates used for clustering

u

covariates of the regression (can be null)

result

results provided by function cluspred

np

boolean indicating whether nonparametric estimation is used (TRUE) or not (FALSE)

Value

predictboth returns a list containing the predicted cluster membership (zhat) and the predicted value of the target variable (yhat).

Examples

require(ClusPred)
# data loading
data(simdata)

# mean regression with two latent groups in parametric framework and two covariates
res <- cluspred(simdata$y, simdata$x, simdata$u, K=2,
np=FALSE, nbCPU = 1, nbinit = 10)
# coefficient of the regression
res$param$beta
# proportions of the latent groups
res$param$pi
# posterior probability of the group memberships
head(res$tik)
# partition
res$zhat
# loglikelihood
res$loglike
# prediction (for possible new observations)
pred <- predictboth(simdata$x, simdata$u, res, np = FALSE)
# predicted cluster membreships
pred$zhat
# predicted value of the target variable
pred$yhat


# median regression with two latent groups in nonparametric framework and two covariates
res <- cluspred(simdata$y, simdata$x, simdata$u, K=2,
 model.reg = "quantile", tau = 0.5, nbinit = 10)
# coefficient of the regression
res$param$beta
# proportions of the latent groups
res$param$pi
# posterior probability of the group memberships
head(res$tik)
# partition
res$zhat
# smoothed loglikelihood
res$logSmoothlike
# prediction (for possible new observations)
pred <- predictboth(simdata$x, simdata$u, res, np = TRUE)
# predicted cluster membreships
pred$zhat
# predicted value of the target variable
pred$yhat