LRchi {BetterReg} | R Documentation |
Compute Likelihood Ratio Chi-square for Binomial Logistic Regression with up to 10 predictors
Description
Compute Likelihood Ratio Chi-square for Binomial Logistic Regression with up to 10 predictors
Usage
LRchi(
data = NULL,
y = NULL,
x1 = NULL,
x2 = NULL,
x3 = NULL,
x4 = NULL,
x5 = NULL,
x6 = NULL,
x7 = NULL,
x8 = NULL,
x9 = NULL,
x10 = NULL,
numpred = NULL
)
Arguments
data |
name of your datafile, loaded |
y |
dependent variable name |
x1 |
first predictor variable name |
x2 |
second predictor variable name |
x3 |
third predictor variable name |
x4 |
fourth predictor variable name |
x5 |
fifth predictor variable name |
x6 |
sixth predictor variable name |
x7 |
seventh predictor variable name |
x8 |
eighth predictor variable name |
x9 |
ninth predictor variable name |
x10 |
tenth predictor variable name |
numpred |
number of predictors |
Examples
LRchi(data=testlog, y="dv", x1="iv1", x2="iv2",numpred=2)
[Package BetterReg version 0.2.0 Index]