compModel-class: compModel Class

In nlanderson9/languagePredictR: Predict Outcomes from Natural Language

Description

compModel Class

Slots

call

The function called to generate this model, with all arguments specified by the user

data_predictor

The predictor variable input to create the model

data_outcome

The outcome variable input to create the model

type

Model type, "binary" or "continuous"

predictor

The name of the column in the test dataframe containing the data_predictor

outcome

The name of the column in the test dataframe containing the data_outcome

y

The dependent (outcome) variable

glm

The general linear model created

predicted_y

The predicted outcomes based on the model and original predictor data

predicted_probabilities

(If binary) The predicted probabilities of the outcomes based on the model and original predictor data

roc

(If binary) The ROC calculated using the predicted_y

roc_ci

(If binary) The boostrapped confidence interval calculated for the ROC

corr

(If continuous) The correlation using the predicted_y

level0

The bottom/first level of a binary variable, or the lowest value of a continuous variable

level1

The top/second level of a binary variable, or the highest value of a continuous variable

nlanderson9/languagePredictR documentation built on June 10, 2021, 11 a.m.