Tidy a panglm fit into a data frame of coefficients

Implements the generics::tidy() generic so panglm results work with broom/modelsummary table-building workflows.

Usage

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

Arguments

x

a "panglm" fit

conf.int

if TRUE, add conf.low/conf.high columns

conf.level

confidence level for the interval

...

unused

Value

a data.frame with one row per coefficient

See also

tidy-methods for the other model classes.

Other panglm methods: coefplot(), confint.panglm(), effectcurve(), fitted.panglm(), fixef(), glance.panglm(), logLik.panglm(), model.matrix.panglm(), partialeffects.panordered(), plot.panglm(), plot.panglm_ape(), plot.panglm_effectcurve(), predict.panglm(), predict.panordered(), residuals.panglm(), summary.panglm(), vcov.panglm()

Examples

data(copd)
fit <- panglm(fev1 ~ treatment + age + smoker + crp, data = copd,
              index = c("id", "visit"), model = "pooling", family = "gaussian")
if (requireNamespace("generics", quietly = TRUE)) {
  generics::tidy(fit, conf.int = TRUE)
}
#>          term    estimate   std.error statistic      p.value    conf.low
#> 1 (Intercept)  4.09147857 0.225597468 18.136190 1.650863e-73  3.64931566
#> 2   treatment  0.20855645 0.056577512  3.686207 2.276208e-04  0.09766656
#> 3         age -0.01423926 0.003133068 -4.544830 5.497949e-06 -0.02037996
#> 4      smoker -0.35520702 0.055904799 -6.353784 2.100818e-10 -0.46477841
#> 5         crp -0.03289479 0.013135302 -2.504304 1.226925e-02 -0.05863951
#>      conf.high
#> 1  4.533641481
#> 2  0.319446334
#> 3 -0.008098562
#> 4 -0.245635625
#> 5 -0.007150074