% Generated by roxygen2: do not edit by hand % Please edit documentation in R/ci.R \name{ci} \alias{ci} \alias{ci.numeric} \alias{ci.stanreg} \alias{ci.brmsfit} \title{Confidence/Credible Interval} \usage{ ci(x, ...) \method{ci}{numeric}(x, ci = 0.9, verbose = TRUE, ...) \method{ci}{stanreg}(x, ci = 0.9, effects = c("fixed", "random", "all"), parameters = NULL, verbose = TRUE, ...) \method{ci}{brmsfit}(x, ci = 0.9, effects = c("fixed", "random", "all"), component = c("conditional", "zi", "zero_inflated", "all"), parameters = NULL, verbose = TRUE, ...) } \arguments{ \item{x}{A \code{stanreg} or \code{brmsfit} model , or a vector representing a posterior distribution.} \item{...}{Currently not used.} \item{ci}{Value or vector of probability of the interval (between 0 and 1) to be estimated. Named Credible Interval (CI) for consistency.} \item{verbose}{Toggle off warnings.} \item{effects}{Should results for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated.} \item{parameters}{Regular expression pattern that describes the parameters that should be returned. Meta-parameters (like \code{lp__} or \code{prior_}) are filtered by default, so only parameters that typically appear in the \code{summary()} are returned. Use \code{parameters} to select specific parameters for the output.} \item{component}{Should results for all parameters, parameters for the conditional model or the zero-inflated part of the model be returned? May be abbreviated. Only applies to \pkg{brms}-models.} } \value{ A data frame with following columns: \itemize{ \item \code{Parameter} The model parameter(s), if \code{x} is a model-object. If \code{x} is a vector, this column is missing. \item \code{CI} The probability of the credible interval. \item \code{CI_low} , \code{CI_high} The lower and upper credible interval limits for the parameters. } } \description{ Compute Confidence/Credible Intervals (CI) for Bayesian and frequentist models using quantiles. } \details{ Documentation is accessible for: \itemize{ \item \href{https://easystats.github.io/bayestestR/reference/ci.html}{Bayesian models} } } \examples{ library(bayestestR) ci(rnorm(1000)) \dontrun{ library(rstanarm) model <- rstanarm::stan_glm(mpg ~ wt + cyl, data = mtcars) ci(model) ci(model, ci = c(.80, .90, .95)) library(brms) model <- brms::brm(mpg ~ wt + cyl, data = mtcars) ci(model) ci(model, ci = c(.80, .90, .95)) } }