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BicZ()
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Compute the BIC of a given structure |
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BoxPlot()
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Boxplot with confidence interval and ANOVA on the plot. |
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CVMSE()
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Cross validation |
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Conan()
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Removes missing values (rows and column to obtain a large full matrix) |
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CorReg-package
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Quick tutorial for CorReg package |
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Hist()
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Histograms with clusters |
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MSE_loc()
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Simple MSE function |
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Numeric_Only()
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To clean non numeric values in a vector |
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ProbaZ()
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Probability of Z without knowing the dataset. It also gives the exact number of binary nilpotent matrices of size p. |
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Terminator()
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Destructing values to have missing ones |
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cleanZ()
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clean the structure of correlations Z (if BIC improved) |
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cleanZtest()
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Clean Z's columns based on p-values (coefficients or global) |
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clean_symbols()
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Remove and replace accents and special characters |
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compare_struct()
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To compare sub-regression structures |
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correg()
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Linear regression using CorReg's method, with variable selection. |
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counting_events_group()
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Counts events |
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density_estimation()
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BIC of estimated marginal gaussian mixture densities |
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matplot_zone()
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Matplot with curves comparison by background colors. |
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mixture_generator()
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Gaussian mixtures dataset generator with regression between the covariates |
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naive_model()
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How would it be if we were naive ? |
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purge_values()
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Replaces unwanted values by NAs |
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readZ()
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Read the structure and explain it |
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recursive_tree()
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Decision tree in a recursive way |
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report_MSE()
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Quickly reports some MSE |
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showdata()
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To show the missing values of a dataset |
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structureFinder()
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MCMC algorithm to find a structure between the covariates |