# NOT RUN {
### Basic LM model
data("data_SRHS_long")
SRHS <- data_SRHS_long[1:2400,]
# Categories rescaled to vary from 0 (<U+201C>poor<U+201D>) to 4 (<U+201C>excellent<U+201D>)
SRHS$srhs <- 5 - SRHS$srhs
out <- lmest(responsesFormula = srhs ~ NULL,
index = c("id","t"),
data = SRHS,
k = 3,
start = 1,
modBasic = 1,
seed = 123)
out
summary(out)
# }
# NOT RUN {
## Basic LM model with model selection using BIC
out1 <- lmest(responsesFormula = srhs ~ NULL,
index = c("id","t"),
data = SRHS,
k = 1:5,
tol = 1e-8,
modBasic = 1,
seed = 123)
out1
out1$Bic
# Basic LM model with model selection using AIC
out2 <- lmest(responsesFormula = srhs ~ NULL,
index = c("id","t"),
data = SRHS,
k = 1:5,
tol = 1e-8,
modBasic = 1,
modSel = "AIC",
seed = 123)
out2
out2$Aic
# Criminal data
data(data_criminal_sim)
data_criminal_sim = data.frame(data_criminal_sim)
responsesFormula <- lmestFormula(data data_criminal_sim, response = "y")$responsesFormula
out3 <- lmest(responsesFormula responsesFormula,
index = c("id","time"),
data =data_criminal_sim,
k = 1:7,
modBasic = 1,
tol = 10^-4)
out3
# Example of drug consumption data
data("data_drug")
long <- data_drug[,-6]-1
long <- data.frame(id = 1:nrow(long),long)
long <- reshape(long,direction = "long",
idvar = "id",
varying = list(2:ncol(long)))
out4 <- lmest(index = c("id","time"),
k = 3,
data = long,
weights = data_drug[,6],
modBasic = 1)
out4
summary(out4)
### LM model with covariates in the latent model
# Covariates: gender, race, educational level (2 columns), age and age^2
out5 <- lmest(responsesFormula = srhs ~ NULL,
latentFormula = ~
I(gender - 1) +
I( 0 + (race == 2) + (race == 3)) +
I(0 + (education == 4)) +
I(0 + (education == 5)) +
I(age - 50) + I((age-50)^2/100),
index = c("id","t"),
data = SRHS,
k = 2,
paramLatent = "multilogit",
start = 0)
out5
summary(out5)
### LM model with the above covariates in the measurement model
out6 <- lmest(responsesFormula = srhs ~ -1 +
I(gender - 1) +
I( 0 + (race == 2) + (race == 3)) +
I(0 + (education == 4)) +
I(0 + (education == 5)) + I(age - 50) +
I((age-50)^2/100),
index = c("id","t"),
data = SRHS,
k = 2,
modManifest = "LM",
out_se = TRUE,
tol = 1e-8,
start = 1,
seed = 123)
out6
summary(out6)
# }
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