R: Algorithms for Testing Models under Stress

# Algorithms for Testing Models under Stress

## Documentation for package ‘stressor’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

boston | Boston Housing Data
create_groups | Create Groups for CV
create_virtualenv | Create 'Python' Virtual Environment
cv | Cross Validation
cv.lm | Cross Validation
cv.mlm_stressor | Cross Validation
cv.reg_asym | Cross Validation
cv.reg_sine | Cross Validation
cv_cluster | Spatial Cluster-Based Partitions for Cross-Validation
cv_core | Cross Validation Function
data_gen_asym | Data Generation Asymptotic
data_gen_lm | Data Generation for Linear Regression
data_gen_sine | Data Generation for Sinusoidal Regression
dist_cent | Distance to Center
kappa_class | Kappa function
mlm_classification | Fit Machine Learning Classification Models
mlm_init | Compare Machine Learning Models
mlm_refit | Refit Machine Learning Models
mlm_regressor | Fit Machine Learning Regressor Models
predict | Prediction Methods for Various Models
predict.mlm_stressor | Prediction Methods for Various Models
predict.reg_asym | Prediction Methods for Various Models
predict.reg_sine | Prediction Methods for Various Models
python_avail | Check if 'Python' is Available
reg_asym | Asymptotic Regression
reg_sine | Sinusoidal Regression
rmse | Root Mean Squarred Error (RMSE)
score | Score Function for Metrics
score_classification | Score Function for Binary Classification
score_regression | Score Function for Regression
split_data_prob | Create Train Index Set
thinning | Thinning Algorithm for Models with Predict Function