Tidiers for ‘dbreg’ objects

Description

Provides broom::tidy and broom::glance methods for "dbreg" objects.

Usage

## S3 method for class 'dbreg'
tidy(x, conf.int = FALSE, conf.level = 0.95, fe = FALSE, ...)

## S3 method for class 'dbreg'
glance(x, ...)

Arguments

x	a model of class ‘dbreg’ produced by the dbreg function.
conf.int	Logical indicating whether to include confidence intervals. Default is ‘FALSE’.
conf.level	Confidence level for intervals. Default is 0.95.
fe	Should the fixed effects be tidied too? Default is ‘FALSE’.
…	Additional arguments to tidying method. Currently unused except to handle superseded arguments.

Examples

library("dbreg")

mod = dbreg(Temp ~ Wind | Month, data = airquality)
tidy(mod, conf.int = TRUE)

  term  estimate std.error statistic     p.values  conf.low  conf.high
1 Wind -0.743388 0.1487908 -4.996197 1.638368e-06 -1.037433 -0.4493427

tidy(mod, conf.int = TRUE, fe = TRUE)

         term  estimate std.error statistic     p.values  conf.low  conf.high
1 (Intercept) 74.188474 2.0544007 36.111978 5.675829e-75 70.128499 78.2484490
2        Wind -0.743388 0.1487908 -4.996197 1.638368e-06 -1.037433 -0.4493427
3      Month6 12.543643 1.5942530  7.868038 7.184769e-13  9.393027 15.6942587
4      Month7 16.362079 1.6183409 10.110404 1.431916e-18 13.163860 19.5602984
5      Month8 16.316286 1.6239233 10.047449 2.091354e-18 13.107035 19.5255376
6      Month9 10.279216 1.5959361  6.440869 1.590257e-09  7.125274 13.4331579

glance(mod)

  r.squared adj.r.squared     rmse nobs df.residual
1 0.5884105     0.5744109 6.052589  153         147