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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