% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mass-fitdistr-tidiers.R
\name{tidy.fitdistr}
\alias{tidy.fitdistr}
\alias{fitdistr_tidiers}
\title{Tidy a(n) fitdistr object}
\usage{
\method{tidy}{fitdistr}(x, ...)
}
\arguments{
\item{x}{A \code{fitdistr} object returned by \code{\link[MASS:fitdistr]{MASS::fitdistr()}}.}

\item{...}{Additional arguments. Not used. Needed to match generic
signature only. \strong{Cautionary note:} Misspelled arguments will be
absorbed in \code{...}, where they will be ignored. If the misspelled
argument has a default value, the default value will be used.
For example, if you pass \code{conf.lvel = 0.9}, all computation will
proceed using \code{conf.level = 0.95}. Additionally, if you pass
\code{newdata = my_tibble} to an \code{\link[=augment]{augment()}} method that does not
accept a \code{newdata} argument, it will use the default value for
the \code{data} argument.}
}
\value{
A \link[tibble:tibble]{tibble::tibble} with one row for estimated parameter, with
columns:

\item{term}{The term that was estimated}
\item{estimate}{Estimated value}
\item{std.error}{Standard error of estimate}
}
\description{
Tidy summarizes information about the components of a model.
A model component might be a single term in a regression, a single
hypothesis, a cluster, or a class. Exactly what tidy considers to be a
model component varies cross models but is usually self-evident.
If a model has several distinct types of components, you will need to
specify which components to return.
}
\examples{

set.seed(2015)
x <- rnorm(100, 5, 2)

library(MASS)
fit <- fitdistr(x, dnorm, list(mean = 3, sd = 1))

tidy(fit)
glance(fit)

}
\seealso{
\code{\link[=tidy]{tidy()}}, \code{\link[MASS:fitdistr]{MASS::fitdistr()}}

Other fitdistr tidiers: 
\code{\link{glance.fitdistr}()}
}
\concept{fitdistr tidiers}
