Skip to contents

standard_error() attempts to return standard errors of model parameters


standard_error(model, ...)

# S3 method for default
  component = "all",
  vcov = NULL,
  vcov_args = NULL,
  verbose = TRUE,

# S3 method for factor
standard_error(model, force = FALSE, verbose = TRUE, ...)

# S3 method for glmmTMB
  effects = "fixed",
  component = "all",
  verbose = TRUE,

# S3 method for merMod
  effects = "fixed",
  method = NULL,
  vcov = NULL,
  vcov_args = NULL,



A model.


Arguments passed to or from other methods.


Model component for which standard errors should be shown. See the documentation for your object's class in model_parameters() or p_value() for further details.


Variance-covariance matrix used to compute uncertainty estimates (e.g., for robust standard errors). This argument accepts a covariance matrix, a function which returns a covariance matrix, or a string which identifies the function to be used to compute the covariance matrix.

  • A covariance matrix

  • A function which returns a covariance matrix (e.g., stats::vcov())

  • A string which indicates the kind of uncertainty estimates to return.

    • Heteroskedasticity-consistent: "vcovHC", "HC", "HC0", "HC1", "HC2", "HC3", "HC4", "HC4m", "HC5". See ?sandwich::vcovHC.

    • Cluster-robust: "vcovCR", "CR0", "CR1", "CR1p", "CR1S", "CR2", "CR3". See ?clubSandwich::vcovCR.

    • Bootstrap: "vcovBS", "xy", "residual", "wild", "mammen", "webb". See ?sandwich::vcovBS.

    • Other sandwich package functions: "vcovHAC", "vcovPC", "vcovCL", "vcovPL".


List of arguments to be passed to the function identified by the vcov argument. This function is typically supplied by the sandwich or clubSandwich packages. Please refer to their documentation (e.g., ?sandwich::vcovHAC) to see the list of available arguments.


Toggle warnings and messages.


Logical, if TRUE, factors are converted to numerical values to calculate the standard error, with the lowest level being the value 1 (unless the factor has numeric levels, which are converted to the corresponding numeric value). By default, NA is returned for factors or character vectors.


Should standard errors for fixed effects ("fixed"), random effects ("random"), or both ("all") be returned? Only applies to mixed models. May be abbreviated. When standard errors for random effects are requested, for each grouping factor a list of standard errors (per group level) for random intercepts and slopes is returned.


Method for computing degrees of freedom for confidence intervals (CI) and the related p-values. Allowed are following options (which vary depending on the model class): "residual", "normal", "likelihood", "satterthwaite", "kenward", "wald", "profile", "boot", "uniroot", "ml1", "betwithin", "hdi", "quantile", "ci", "eti", "si", "bci", or "bcai". See section Confidence intervals and approximation of degrees of freedom in model_parameters() for further details.


A data frame with at least two columns: the parameter names and the standard errors. Depending on the model, may also include columns for model components etc.


For Bayesian models (from rstanarm or brms), the standard error is the SD of the posterior samples.


model <- lm(Petal.Length ~ Sepal.Length * Species, data = iris)
#>                        Parameter        SE
#> 1                    (Intercept) 0.5310388
#> 2                   Sepal.Length 0.1058237
#> 3              Speciesversicolor 0.6836543
#> 4               Speciesvirginica 0.6578142
#> 5 Sepal.Length:Speciesversicolor 0.1281447
#> 6  Sepal.Length:Speciesvirginica 0.1209952

if (require("sandwich") && require("clubSandwich")) {
  standard_error(model, vcov = "HC3")

    vcov = "vcovCL",
    vcov_args = list(cluster = iris$Species)
#>                        Parameter           SE
#> 1                    (Intercept) 1.397486e-15
#> 2                   Sepal.Length 2.784715e-16
#> 3              Speciesversicolor 1.528110e-15
#> 4               Speciesvirginica 1.758550e-15
#> 5 Sepal.Length:Speciesversicolor 2.977050e-16
#> 6  Sepal.Length:Speciesvirginica 3.226855e-16