0.1.0
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Downloading and installing the code
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Selective Inference License Information
API
algorithms.change_point
algorithms.covtest
algorithms.cv
algorithms.cv_glmnet
algorithms.debiased_lasso
algorithms.forward_step
algorithms.lasso
algorithms.pca
algorithms.screening
algorithms.softmax
algorithms.sqrt_lasso
algorithms.stopping_rules
base
constraints.affine
constraints.base
constraints.estimation
constraints.intervals
constraints.quadratic
constraints.quasi_affine
distributions.chain
distributions.chisq
distributions.discrete_family
distributions.discrete_multiparameter
distributions.intervals
distributions.pvalue
glm
learning.Rfitters
Module:
learning.Rfitters
Functions
learning.Rutils
learning.core
learning.fitters
learning.learners
learning.samplers
learning.utils
randomized.cv_view
randomized.group_lasso
randomized.lasso
randomized.modelQ
randomized.query
randomized.randomization
randomized.screening
randomized.slope
sampling.langevin
sampling.sequential
truncated.F
truncated.T
truncated.base
truncated.chi
truncated.gaussian
utils.tools
Selection documentation attribution
Non-randomized algorithms
Randomized algorithms
Learning selection
selection
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learning.Rfitters
¶
Module:
learning.Rfitters
¶
Functions
¶
selectinf.learning.Rfitters.
gbm_fit
(
T
,
Y
,
ntrees=5000
)
[source]
¶
selectinf.learning.Rfitters.
logit_fit
(
T
,
Y
,
df=20
)
[source]
¶
selectinf.learning.Rfitters.
probit_fit
(
T
,
Y
,
df=20
)
[source]
¶
selectinf.learning.Rfitters.
random_forest_fit
(
T
,
Y
,
ntrees=5000
)
[source]
¶