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createNA()
Create missing values for a dataset
dae_default()
Auxiliary function for dae.params
dae_pmm_default()
Auxiliary function for pmm.params for midae
data_clean()
Data cleaning
decile()
scale a vector using decile
decile_scaler()
scale a dataset using decile and return a scaled dataframe, the 1st decile and the 9th decile of each column
feature_type()
This function is used to return the type(numeric,binary,multiclass) of each feature
impute_new()
Impute new data with a saved midae or mivae imputation model
miae miae-package
miae : Multiple Imputation Through Autoencoders
midae()
Multiple imputation through denoising autoencoders with dropout
minmax()
scale a vector using minmax
minmax_scaler()
scale a dataset using minmax and return a scaled dataframe, the colmin and colmax of each column
mivae()
multiple imputation through variational autoencoders
mivae.latent()
multiple imputation through variational autoencoders (latent) haven't change default setting yet
newborn
NHANES III (1988-1994) newborn data
nhanes3
A small subset of the NHANES III (1988-1994) newborn data
plot_dropout()
plot the density of the impiuted values of a numeric variable using different dropout probabilities
postprocess()
postprocess data
rev_decile_scaler()
This function back-transform decile-scaled data to an output as data matrix
rev_minmax_scaler()
This function back-transform minmax-scaled data to an output as data matrix
rev_onehot()
reverse onehot data
rev_robust_scaler()
This function back-transform robust-scaled data to an output as data matrix
rev_standard_scaler()
This function back-transform standardized data to an output as data matrix
robust()
scale a vector using robust scaler
robust_scaler()
scale a dataset using robust scaler and return a scaled dataframe, the median, the lower quantile (25% by default) and the upper quantile (75% by default) of each column
samples()
Random sampling from observed values
standard()
scale a vector using standardize
standard_scaler()
scale a dataset using stardardize and return a scaled dataframe, the colmean and colsd of each column
tune_dropout_midae()
Tune dropout rate for midae
vae_default()
Auxiliary function for vae.params
