library(nlme) #load library for fitting linear mixed effects models
model <- lme(distance ~ age, data = Orthodont, random = ~ 1) #estimate model
coefficient.names <- rownames(summary(model)$tTable) #extract coefficient names
coefficients <- summary(model)$tTable[, 1] #extract coefficient values
standard.errors <- summary(model)$tTable[, 2] #extract standard errors
significance <- summary(model)$tTable[, 5] #extract p values
lik <- summary(model)$logLik #extract log likelihood
aic <- summary(model)$AIC #extract AIC
bic <- summary(model)$BIC #extract BIC
n <- nobs(model) #extract number of observations
gof <- c(aic, bic, lik, n) #create a vector of GOF statistics
gof.names <- c("AIC", "BIC", "Log Likelihood", "Num. obs.") #names of GOFs
decimal.places <- c(TRUE, TRUE, TRUE, FALSE) #the last one is a count variable
#create the texreg object
tr <- createTexreg(
coef.names = coefficient.names,
coef = coefficients,
se = standard.errors,
pvalues = significance,
gof.names = gof.names,
gof = gof,
gof.decimal = decimal.places
)
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