prediction_regression: Do the prediction for regression

In packDAMipd: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data

Do the prediction for regression

Description

Do the prediction for regression

Usage

prediction_regression(
  method,
  fit,
  expression_recreated,
  param_to_be_estimated,
  indep_var,
  covariates,
  interaction
)

Arguments

method	param describing the methods, expects lm
fit	results of the regression fit
expression_recreated	the expression recreated for calling lm
param_to_be_estimated	parameter of interest
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

Value

the results of the regression analysis

Examples

datafile = system.file("extdata", "binary.csv", package = "packDAMipd")
mydata <- read.csv(datafile)
results_logit <- use_linear_regression("admit", dataset = mydata,
indep_var = "gre",covariates = NA,interaction = FALSE)
predict = prediction_regression("lm",results_logit$fit,
results_logit$fit$call, "admit",covariates = NA,"gre", FALSE )

packDAMipd documentation built on May 29, 2024, 3:18 a.m.