JointAI (version 0.1.0)

summary.JointAI: Summary of an object of class JointAI

Description

Summary of an object of class JointAI

Usage

# S3 method for JointAI
summary(object, start = NULL, end = NULL, thin = NULL,
  quantiles = c(0.025, 0.975), subset = "main", ...)
# S3 method for summary.JointAI
print(x, digits = max(3, .Options$digits - 3), ...)

Arguments

object

object inheriting from class JointAI

start

the first iteration of interest (see window.mcmc)

end

the last iteration of interest (see window.mcmc)

thin

thinning interval (see window.mcmc)

quantiles

posterior quantiles

subset

subset of monitored parameters (columns in the MCMC sample). Can be specified as a numeric vector of columns, a vector of column names, as subset = "main" or NULL. If NULL, all monitored nodes will be plotted. subset = "main" (default) the main parameters of the analysis model will be plotted (regression coefficients/fixed effects, and, if available, standard deviation of the residual and random effects covariance matrix).

...

currently not used

x

an object of class summary.JointAI

digits

minimal number of significant digits, see print.default.

See Also

The model fitting functions lm_imp, glm_imp, lme_imp

Examples

# NOT RUN {
mod1 <- lm_imp(y~C1 + C2 + M2, data = wideDF, n.iter = 100)
summary(mod1)


# }