Package index • AIDA

All functions

Centers(): Centers Method for intData
IMCD(): Interval-valued data Minimum Covariance Determinant (IMCD) estimation
IMah_dist(): Interval-Mahalanobis Distance
IMah_dist_pairs(): Interval-Mahalanobis distance for all pairs
KL_divergence(): Kullback-Leibler (KL) Divergence
LatentCase(): Latent Case Method for intData
LatentDist(): Latent Distribution Method for intData
LatentParam(): Latent Parameters Method for intData
LogRanges(): LogRanges Method for intData
LowerBounds(): Lower Bounds Method for intData
Mallows_dist(): Mallows Distance
NbMicroUnits(): Number of Micro Units Method for intData
Ranges(): Ranges Method for intData
`[`(<intData>): Subset an intData Object
SYMB.biplot(): Symbolic Biplot for Interval-valued Data
SYMB.pairs.panels(): Pairs-plot for Interval-valued Symbolic data.
UpperBounds(): Upper Bounds Method for intData
angle_error(): Angle Error
colnames(<intData>): Column Names Method for intData
`==`(<intData>,<intData>) `!=`(<intData>,<intData>): Equality Comparison for intData Objects
creditcard: Credit Card Dataset
dim(<intData>): Dimensions Method for intData
entrecampos_air_quality: Entrecampos Air Quality Dataset
farness(): Farness Estimation
frobenius_error(): Relative Frobenius Error
get_latent_param(): Compute Latent Variables Parameters
get_latent_var(): Compute Latent Variables
head(<intData>): Head Method for intData
intCars: Cars Dataset
intData-class: Interval Data Class
intData(): Interval Data Constructor
int_cov(): Interval-valued Covariance
int_cov_z(): Sample Interval-valued Covariance
int_mean_z(): Sample Mean
int_outliers(): Outlier Detection for Interval-Valued Data Based on Robust Distances
micro2intData(): Aggregate Microdata into Interval-Valued Data
names(<intData>): Variable Names Method for intData
ncol(<intData>): Number of Columns Method for intData
nrow(<intData>): Number of Rows Method for intData
plot(<intData>,<intData>) plot(<intData>,<missing>): Plot Method for Two intData Objects
plot_dist_dist(): Distance-Distance plot for interval-valued data.
plot_interval_dist(): Interval-Mahalanobis distance plot for interval-valued data.
print(<summaryintData>): Print Method for Summary intData
row.names(<intData>): Row.Names Method for intData
rownames(<intData>): Row Names Method for intData
show(<intData>) show(<summaryintData>): Show Method for intData
spotify_tracks: Spotify Tracks Dataset
summary(<intData>): Summary Method for intData
summaryintData-class: Summary Interval Data Class
tail(<intData>): Tail Method for intData