
Package index
-
colon
- colon
-
create_bivariate_plot()
- Bivariate plot
-
create_univariate_plot()
- Univariate plot
-
denominator_data
- denominator_data
-
denominator_small
- denominator_small
-
distance
- Create a Gram matrix with squared Euclidean distances between observations in the input matrix
X
and the input matrixY
-
dr.histogram()
plot(<ulsif>)
plot(<kliep>)
plot(<kmm>)
plot(<spectral>)
plot(<lhss>)
plot(<naivedensityratio>)
- A histogram of density ratio estimates
-
insurance
- insurance
-
kernel_gaussian
- Create gaussian kernel gram matrix from distance matrix
-
kidiq
- kidiq
-
kliep()
- Kullback-Leibler importance estimation procedure
-
kmm()
- Kernel mean matching approach to density ratio estimation
-
lhss()
- Least-squares heterodistributional subspace search
-
naive()
- Naive density ratio estimation
-
numerator_data
- numerator_data
-
numerator_small
- numerator_small
-
permute()
- Single permutation
-
plot_bivariate()
- Densityratio in two-dimensional plot
-
plot_univariate()
- Scatter plot of density ratios and individual variables
-
predict(<kliep>)
- Obtain predicted density ratio values from a
kliep
object
-
predict(<kmm>)
- Obtain predicted density ratio values from a
kmm
object
-
predict(<lhss>)
- Obtain predicted density ratio values from a
lhss
object
-
predict(<naivedensityratio>)
- Obtain predicted density ratio values from a
naivedensityratio
object
-
predict(<spectral>)
- Obtain predicted density ratio values from a
spectral
object
-
predict(<ulsif>)
- Obtain predicted density ratio values from a
ulsif
object
-
print(<kliep>)
- Print a
kliep
object
-
print(<kmm>)
- Print a
kmm
object
-
print(<lhss>)
- Print a
lhss
object
-
print(<naivedensityratio>)
- Print a
naivedensityratio
object
-
print(<spectral>)
- Print a
spectral
object
-
print(<summary.kliep>)
- Print a
summary.kliep
object
-
print(<summary.kmm>)
- Print a
summary.kmm
object
-
print(<summary.lhss>)
- Print a
summary.lhss
object
-
print(<summary.naivedensityratio>)
- Print a
summary.naivedensityratio
object
-
print(<summary.spectral>)
- Print a
summary.spectral
object
-
print(<summary.ulsif>)
- Print a
summary.ulsif
object
-
print(<ulsif>)
- Print a
ulsif
object
-
spectral()
- Spectral series based density ratio estimation
-
summary(<kliep>)
- Extract summary from
kliep
object, including two-sample significance test for homogeneity of the numerator and denominator samples
-
summary(<kmm>)
- Extract summary from
kmm
object, including two-sample significance test for homogeneity of the numerator and denominator samples
-
summary(<lhss>)
- Extract summary from
lhss
object, including two-sample significance test for homogeneity of the numerator and denominator samples
-
summary(<naivedensityratio>)
- Extract summary from
naivedensityraito
object, including two-sample significance test for homogeneity of the numerator and denominator samples
-
summary(<spectral>)
- Extract summary from
spectral
object, including two-sample significance test for homogeneity of the numerator and denominator samples
-
summary(<ulsif>)
- Extract summary from
ulsif
object, including two-sample significance test for homogeneity of the numerator and denominator samples
-
ulsif()
- Unconstrained least-squares importance fitting