get_parameter_estimated_regression: Get the parameter values using the provided statistical...

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

Description

Get the parameter values using the provided statistical regression methods

Usage

get_parameter_estimated_regression(
  param_to_be_estimated,
  data,
  method,
  indep_var,
  info_get_method = NA,
  info_distribution = NA,
  covariates = NA,
  timevar_survival = NA,
  interaction = FALSE,
  fix_eff = NA,
  fix_eff_interact_vars = NA,
  random_intercept_vars = NA,
  nested_intercept_vars_pairs = NA,
  cross_intercept_vars_pairs = NA,
  uncorrel_slope_intercept_pairs = NA,
  random_slope_intercept_pairs = NA,
  naaction = "stats::na.omit",
  param2_to_be_estimated = NA,
  covariates2 = NA,
  interaction2 = FALSE,
  link = NA,
  cluster_var = NA,
  package_mixed_model = NA
)

Arguments

param_to_be_estimated	parameter of interest
data	data to be provided or the data file containing dataset
method	method of estimation (for example, linear, logistic regression etc)
indep_var	the independent variable (column name in data file)
info_get_method	additional information on methods e.g Kaplan-Meier ot hazard
info_distribution	distribution name eg. for logistic regression -binomial
covariates	list of covariates-calculations to be done before passing
timevar_survival	time variable for survival analysis
interaction	boolean value to indicate interaction in the case of linear regression
fix_eff	boolean value to indicate interaction in the case of linear regression
fix_eff_interact_vars	boolean value to indicate interaction in the case of linear regression
random_intercept_vars	boolean value to indicate interaction in the case of linear regression
nested_intercept_vars_pairs	boolean value to indicate interaction in the case of linear regression
cross_intercept_vars_pairs	boolean value to indicate interaction in the case of linear regression
uncorrel_slope_intercept_pairs	boolean value to indicate interaction in the case of linear regression
random_slope_intercept_pairs	boolean value to indicate interaction in the case of linear regression
naaction	what action to be taken for the missing values, default is a missing value.
param2_to_be_estimated	parameter of interest for equation 2 in bivariate regression
covariates2	list of covariates - for equation 2 in bivariate regression
interaction2	boolean value to indicate interaction for equation 2 in bivariate regression
link	link function to be provided if not using the default link for each of the info_distribution
cluster_var	cluster variable if any
package_mixed_model	package to be used for mixed model ie nlme or lme4

Details

This function is the top in the layer of functions used for regression analysis Thus it contains many parameters to be passed on The required ones are parameter to be estimated, data that contains the observation, the method of regression to be used, the independent variable and the information for the distribution and method. if the data is given as a file name. it will load the data in that file Then it calls the appropriate functions depending on the regression method that specified. The methods that are considered : Survival analysis, linear regression, logistic regression,generalised linear model, linear multilevel or mixed model, and seemingly unrelated regression

Value

results the results of the regression analysis

Examples

result <- get_parameter_estimated_regression(
  param_to_be_estimated = "Direction",
  data = ISLR::Smarket, method = "logistic", indep_var = "Lag1",
  info_get_method = NA, info_distribution = "binomial",
  covariates = c("Lag2", "Lag3"), interaction = FALSE,
  naaction = "na.omit", link = NA)
  

packDAMipd documentation built on March 3, 2021, 5:07 p.m.