Algorithms for Testing Models under Stress

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Documentation for package ‘stressor’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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