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packDAMipd (version 0.2.0)

prediction_regression: 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

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

Run this code
# NOT RUN {
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 )
# }

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