prediction_regression: Do the prediction for regression

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

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
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
dataset	data set to be provided

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 March 3, 2021, 5:07 p.m.