Computational Test for Conditional Independence


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Documentation for package ‘CCI’ version 0.2.1

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add_interaction_terms Creates interaction terms for specified variables in a data frame Interaction terms are named as '<var1>_int_<var2>' (e.g., 'Z1_int_Z2' for the product of 'Z1' and 'Z2').
add_poly_terms Creates polynomial terms for specified variables in a data frame Polynomial terms are named as '<variable>_d_<degree>' (e.g., 'Z1_d_2' for the square of 'Z1').
BinaryData Generate Binary Data
BivMultinominal Generate Bivariate Multinomial Categorical Data
BivNonLinearCategorization Generate Bivariate Nonlinear Categorical Data
build_formula Build an expanded formula with poly and interaction terms
CCI Computational test for conditional independence based on ML and Monte Carlo Cross Validation
CCI.direction Choose Direction for testing for the CCI test
CCI.pretuner CCI tuner function for CCI test
CCI.test Computational test for conditional independence based on ML and Monte Carlo Cross Validation
check_formula Check the formula statement
clean_formula Clean and Reformat Formula String
ComplexCategorization Generate Complex Categorical Data
ExpLogData Generate Categorical Data Based on Exponential and Logarithmic Functions
ExpLogThreshold Generate Exponential and Logarithmic Data
ExponentialNoise Generate Data with Exponential Noise
get_pvalues P-value Calculation Based on Null Distribution and Test Statistic
get_tuned_params Get the best parameters after tuning with CCI.tuner
GridPartition Generate Grid Partitioned Data
HardCase Generate Hard Case Data with Two Z Variables
InteractiondData Generate Categorical Data Based on Interactions
NonLinearCategorization Generate Nonlinear Categorical Data (Univariate)
NonLinearData Generate Nonlinear Categorical Data (Bivariate)
NonLinNormal Generate Nonlinear Normal Data
NonLinNormalZs Generate High-dimensional Nonlinear Normal Data
NormalData Generate Normal Data for Conditional Independence Testing
perm.test Permutation Test for Conditional Independence
plot.CCI Plot for CCI testing
PoissonNoise Generate Data with Poisson Noise
PolyData Generate Categorical Polynomial Data
PolyDecision Generate Polynomial Decision Boundary Data
print.CCI Print and summary methods for the CCI class
print.summary.CCI Print and summary methods for the CCI class
QQplot QQ-plot for multiple testing in CCI
QuadThresh Generate Quadratic Threshold Data
reports Print and summary methods for the CCI class
SinCosThreshold Generate Sinusoidal and Cosine Data
SineGaussian Generate Sine-Gaussian Data (Univariate)
SineGaussianBiv Generate Sine-Gaussian Data (Bivariate)
SineGaussianNoise Generate Sine-Gaussian Data (Bivariate)
summary.CCI Print and summary methods for the CCI class
test.gen Generate the Test Statistic or Null Distribution Using Permutation
TrigData Generate Categorical Trigonometric Data
tuner CCI tuner function for CCI test
UniformNoise Generate Data with Uniform Noise
wrapper_ranger Random Forest wrapper for CCI
wrapper_svm SVM wrapper for CCI
wrapper_xgboost Extreme Gradient Boosting wrapper for CCI