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Calculates the Residuals for a completed logistic model

Source: R/basic_run.R
Residual.logitres.Rd

Residual.logitres uses user provided data, person-year/event columns, vectors specifying the model, and options to calculate residuals for a solved Poisson regression

Usage

# S3 method for class 'logitres'
Residual(
  x,
  df,
  control = list(),
  a_n = NULL,
  pearson = FALSE,
  deviance = FALSE,
  ...
)

Arguments

x

result object from a regression, class logitres

df

a data.table containing the columns of interest

control

list of parameters controlling the convergence, see the control options vignette for details

a_n

list of initial parameter values, used to determine the number of parameters. May be either a list of vectors or a single vector.

pearson

boolean to calculate pearson residuals

deviance

boolean to calculate deviance residuals

...

can include the named entries for the assign_control list parameter

Value

returns matrices of residuals

See also

Other Residuals: Residual(), Residual.logitmodel(), Residual.poismodel(), Residual.poisres()