View source: R/help_parameter_estimation_functions.R
| do_diagnostic_glm | R Documentation | 
Do the diagnostic test for glm model assumption
do_diagnostic_glm(
  method = "glm",
  fit,
  expression_recreated,
  param_to_be_estimated,
  dataset,
  indep_var,
  covariates,
  interaction
)
| method | param describing the methods, expects glm | 
| expression_recreated | the expression recreated for calling lm | 
| param_to_be_estimated | parameter of interest | 
| dataset | data set to be provided | 
| indep_var | the independent variable (column name in data file) | 
| covariates | list of covariates - calculations to be done before passing | 
| interaction | boolean value to indicate interaction in the case of linear regression, false by default | 
the results of the regression analysis
datafile = system.file("extdata", "binary.csv", package = "packDAMipd")
mydata <- read.csv(datafile)
results_logit <- use_generalised_linear_model("admit",dataset = mydata,
indep_var = "gre", family = "binomial", covariates = NA,
interaction = FALSE,naaction = "na.omit", link = NA)
do_diagnostic_glm("glm", results_logit$fit, results_logit$fit$call,
"admit",mydata, "gre", covariates = NA, interaction = FALSE)
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