Diagnosing Separation Phenomena in Latent Polyhedral Categorical Response Models

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Documentation for package ‘divoRce’ version 0.11-1

• DESCRIPTION file
• Package NEWS

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A C D H I L M N O P Q R S T

-- A --

Alligators

Untabeled alligator food choice data

-- C --

checksep_acl	Separation check for adjacent-category link models.
checksep_b	Separation check for binary models.
checksep_bcl	Separation check for baseline category models.
checksep_cl	Separation check for cumulative link models.
checksep_os	Separation check for ordered stereotype models.
checksep_sl	Separation check for sequential (continuation-ratio) models.
checksep_worker	General separation check worker function.
check_overlap	General overlap check.
check_separation	General separation check worker function.
check_separation.bracl	General separation check worker function.
check_separation.brmultinom	General separation check worker function.
check_separation.character	General separation check worker function.
check_separation.clm	General separation check worker function.
check_separation.default	General separation check worker function.
check_separation.factor	General separation check worker function.
check_separation.formula	General separation check worker function.
check_separation.glm	General separation check worker function.
check_separation.integer	General separation check worker function.
check_separation.logical	General separation check worker function.
check_separation.matrix	General separation check worker function.
check_separation.multinom	General separation check worker function.
check_separation.numeric	General separation check worker function.
check_separation.osm	General separation check worker function.
check_separation.polr	General separation check worker function.
create_bseq	Creates a list of data for a sequence of binary models from a sequential (continuation ratio) model. It splits the data according to the forward sequential mechanism.
csepdat1	Toy data set with complete separation
csepdat2	Toy data set with complete separation
csepdatm	Toy data set with complete separation
csepdato	Toy data set with complete separation

-- D --

diagnose_separation	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.bracl	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.brmultinom	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.character	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.clm	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.default	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.factor	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.formula	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.glm	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.integer	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.logical	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.matrix	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.multinom	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.numeric	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.osm	Detailed separation diagnostic for all categorical outcomes.
diagnose_separation.polr	Detailed separation diagnostic for all categorical outcomes.
diagsep_acl	Detailed separation diagnostic for adjacent-category link ordinal response models.
diagsep_b	Detailed separation diagnostic for binary outcomes.
diagsep_bcl	Detailed separation diagnostic for baseline-category link models.
diagsep_cl	Detailed separation diagnostic for cumulative link ordinal response models.
diagsep_os	Detailed separation diagnostic for ordered stereotype models.
diagsep_sl	Detailed separation diagnostic for sequential (continuation-ratio) ordinal response models.
diagsep_worker	Detailed separation diagnostic for all categorical outcomes.

-- H --

HDSS	Willingness to Share Health Data of Drexler (2025)

-- I --

iris2

Adapted Iris Dataset

-- L --

linearities	This function calculates the linearities in the negative structure vector matrix X*, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.
linearities_acl	This function calculates the linearities in the negative structure vector matrix X* for an adjacent-category link model, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.
linearities_b	This function calculates the linearities in the negative structure vector matrix X* for a baseline-category link model, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.
linearities_bcl	This function calculates the linearities in the negative structure vector matrix X* for a baseline-category link model, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.
linearities_cl	This function calculates the linearities in the negative structure vector matrix X* for a cumulative link model, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.
linearities_os	This function calculates the linearities in the negative structure vector matrix X* for an ordered stereotype model, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.
linearities_sl	This function calculates the linearities in the negative structure vector matrix X* for an sequential link model, so the row vectors for which there is no separation. If this is an empty set or of length 0, then we have overlap.

-- M --

make_yx

This function is meant to set up a response variable and a design matrix from a formula-data combination for the pre-fit separation check functions.

-- N --

nsduh2019

A snapshot of the NSDUH 2019 data

-- O --

ohiovoters	Voters in Ohio
overlap_quick_check	A quick check for overlap.
overlap_sequential_check	A sequential check for overlap.
ovldat1	Toy data set with overlap.
ovldat2	Toy data set with overlap.
ovldatm	Toy data set with overlap.
ovldato	Toy data set with overlap.

-- P --

print.sepmod	Print generic for sepmod classes
print.sepmod_sl	Print generic for sepmod_sl classes

-- Q --

qcsepdat1	Toy data set with quasi-complete separation
qcsepdat2	Toy data set with quasi-complete separation
qcsepdatm	Toy data set with quasi-complete separation
qcsepdato	Toy data set with quasi-complete separation

-- R --

reccone_acl	Calculates recession cone for adjacent-category link models.
reccone_b	Calculates recession cone for baseline-category link models.
reccone_bcl	Calculates recession cone for baseline-category link models.
reccone_cl	Calculates recession cone for cumulative link models.
reccone_os	Calculates recession cone for ordered stereotype models.
reccone_sl	Calculates recession cone for sequential link models.
reccone_worker	Calculates recession cone for categorical data models.
recession_cone	Calculates recession cone for categorical data models.
recession_cone.bracl	Calculates recession cone for categorical data models.
recession_cone.brmultinom	Calculates recession cone for categorical data models.
recession_cone.character	Calculates recession cone for categorical data models.
recession_cone.clm	Calculates recession cone for categorical data models.
recession_cone.default	Calculates recession cone for categorical data models.
recession_cone.factor	Calculates recession cone for categorical data models.
recession_cone.formula	Calculates recession cone for categorical data models.
recession_cone.glm	Calculates recession cone for categorical data models.
recession_cone.integer	Calculates recession cone for categorical data models.
recession_cone.logical	Calculates recession cone for categorical data models.
recession_cone.matrix	Calculates recession cone for categorical data models.
recession_cone.multinom	Calculates recession cone for categorical data models.
recession_cone.numeric	Calculates recession cone for categorical data models.
recession_cone.osm	Calculates recession cone for categorical data models.
recession_cone.polr	Calculates recession cone for categorical data models.

-- S --

separation_columns	Identify separation columns
separation_columns.bracl	Identify separation columns
separation_columns.brmultinom	Identify separation columns
separation_columns.character	Identify separation columns
separation_columns.clm	Identify separation columns
separation_columns.default	Identify separation columns
separation_columns.factor	Identify separation columns
separation_columns.formula	Identify separation columns
separation_columns.glm	Identify separation columns
separation_columns.integer	Identify separation columns
separation_columns.logical	Identify separation columns
separation_columns.matrix	Identify separation columns
separation_columns.multinom	Identify separation columns
separation_columns.numeric	Identify separation columns
separation_columns.osm	Identify separation columns
separation_columns.polr	Identify separation columns
separation_quick_check	A quick check for separation.
separation_rows	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.bracl	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.brmultinom	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.character	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.clm	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.default	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.factor	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.formula	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.glm	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.integer	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.logical	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.matrix	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.multinom	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.numeric	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.osm	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
separation_rows.polr	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
sepcols_acl	Identify separation columns in adjacent-category models
sepcols_b	Identify separation columns for binary models
sepcols_bcl	Identify separation columns in baseline-category models
sepcols_cl	Identify separation columns in cumulative link models
sepcols_os	Identify separation columns in ordered stereotype models
sepcols_sl	Identify separation columns in sequential models
sepcols_worker	Identify separation columns
seprows_acl	Identify the rows in data matrix that cause separation in adjacent-category link ordinal response models.
seprows_b	Identify rows in the data matrix that cause separation for binary models.
seprows_bcl	Identify the rows in the data matrix that cause separation in baseline-category link categorical response models.
seprows_cl	Identify the rows in the data matrix that cause separation in cumulative link ordinal response models.
seprows_os	Identify the rows in the data matrix that cause separation in ordered stereotype models.
seprows_sl	Detect design matrix rows with separation for sequential (continuation-ratio) ordinal response models.
seprows_worker	Identify the rows in the design/structure vector matrix that cause separation. It calls lower level functions if given an argument or chooses based on the response type.
Silvapulle	Psychiatric Cases Classification based on GHQ of Silvapulle (1981)
structure_vectors	Structure Vector S3 Generic
structure_vectors.default	Structure Vector S3 Generic
structure_vectors.formula	Structure Vector S3 Generic

-- T --

titanic3

All people of age 3 in the Kaggle Titanic data set