Feature Selection (Including Multiple Solutions) and Bayesian Networks

auc | ROC and AUC |

bbc | Bootstrap bias correction for the performance of the... |

beta.mod | Beta regression |

beta.regs | Many simple beta regressions. |

bic.fsreg | Variable selection in regression models with forward... |

bic.glm.fsreg | Variable selection in generalised linear models with forward... |

big.fbed.reg | Forward Backward Early Dropping selection regression for big... |

big.gomp | Generalised orthogonal matching pursuit(gOMP) for big data |

bn.skel.utils | Utilities for the skeleton of a (Bayesian) Network |

bs.reg | Variable selection in regression models with backward... |

censIndCR | Conditional independence test for survival data |

certificate.of.exclusion | Certificate of exclusion from the selected variables set... |

ci.mm | Symmetric conditional independence test with mixed data |

condi | Conditional independence test for continuous class variables... |

condis | Many conditional independence tests counting the number of... |

cond.regs | Conditional independence regression based tests |

conf.edge.lower | Lower limit of the confidence of an edge |

cor.drop1 | Drop all possible single terms from a model using the partial... |

corfs.network | Network construction using the partial correlation based... |

corgraph | Graph of unconditional associations |

cv.gomp | Cross-Validation for gOMP |

cv.ses | Cross-Validation for SES and MMPC |

dag2eg | Transforms a DAG into an essential graph |

ebic.bsreg | Backward selection regression using the eBIC |

ebic.glmm.bsreg | Backward selection regression for GLMM using the eBIC |

ebic.regs | eBIC for many regression models |

equivdags | Check Markov equivalence of two DAGs |

fbed.gee.reg | Forward Backward Early Dropping selection regression with GEE |

fbed.glmm.reg | Forward Backward Early Dropping selection regression with... |

fbed.reg | Forward Backward Early Dropping selection regression |

fbedreg.bic | Incremental BIC values and final regression model of the FBED... |

findDescendants | Returns and plots, if asked, the descendants or ancestors of... |

fs.reg | Variable selection in regression models with forward... |

generatefolds | Generate random folds for cross-validation |

glm.bsreg | Variable selection in generalised linear regression models... |

glm.fsreg | Variable selection in generalised linear regression models... |

glmm.bsreg | Backward selection regression for GLMM |

glmm.ci.mm | Symmetric conditional independence test with clustered data |

gomp | Generalised orthogonal matching pursuit (gOMP) |

group.mvbetas | Calculation of the constant and slope for each subject over... |

gSquare | G-square conditional independence test for discrete data |

iamb | IAMB variable selection |

iamb.bs | IAMB backward selection phase |

ida | Total causal effect of a node on another node |

is.dag | Check whether a directed graph is acyclic |

lm.fsreg | Variable selection in linear regression models with forward... |

local.mmhc.skel | Skeleton (local) around a node of the MMHC algorithm |

mammpc.output-class | Class '"mammpc.output"' |

ma.ses | ma.ses: Feature selection algorithm for identifying multiple... |

mases.output-class | Class '"mases.output"' |

mb | Returns the Markov blanket of a node (or variable) |

mmhc.skel | The skeleton of a Bayesian network as produced by MMHC |

mmmb | Max-min Markov blanket algorithm |

mmpc2 | A fast version of MMPC |

mmpcbackphase | Backward phase of MMPC |

MMPC.gee.output-class | Class '"MMPC.gee.output"' |

mmpc.glmm2 | mmpc.glmm2/mmpc.gee2: Fast Feature selection algorithm for... |

mmpc.glmm.model | Generalised linear mixed model(s) based obtained from glmm... |

MMPC.glmm.output-class | Class '"MMPC.glmm.output"' |

mmpc.or | Bayesian Network construction using a hybrid of MMPC and PC |

MMPCoutput-class | Class '"MMPCoutput"' |

mmpc.path | MMPC solution paths for many combinations of hyper-parameters |

mmpc.timeclass.model | Regression model(s) obtained from SES.timeclass or... |

modeler | Generic regression modelling function |

MXMCondIndTests | MXM Conditional independence tests |

MXM-internal | Internal MXM Functions |

MXM-package | This is an R package that currently implements feature... |

nei | Returns the node(s) and their neighbour(s), if there are any. |

Ness | Effective sample size for G^2 test in BNs with case control... |

ordinal.reg | Generalised ordinal regression |

ord.resid | Probability residual of ordinal logistic regreession |

partialcor | Partial correlation |

pc.or | The orientations part of the PC algorithm. |

pc.skel | The skeleton of a Bayesian network produced by the PC... |

permcor | Permutation based p-value for the Pearson correlation... |

pi0est | Estimation of the percentage of Null p-values |

plotnetwork | Interactive plot of an (un)directed graph |

pval.mixbeta | Fit a mixture of beta distributions in p-values |

rdag | Simulation of data from DAG (directed acyclic graph) |

read.big.data | Forward Backward Early Dropping selection regression |

reg.fit | Regression modelling |

ridge.plot | Ridge regression |

ridge.reg | Ridge regression |

ridgereg.cv | Cross validation for the ridge regression |

SES | SES: Feature selection algorithm for identifying multiple... |

SES.gee.output-class | Class '"SES.gee.output"' |

SES.glmm | SES.glmm/SES.gee: Feature selection algorithm for identifying... |

SES.glmm.output-class | Class '"SES.glmm.output"' |

ses.model | Regression model(s) obtained from SES or MMPC |

SESoutput-class | Class '"SESoutput"' |

SES.timeclass | Feature selection using SES and MMPC for classifiication with... |

shd | Structural Hamming distance between two partially oriented... |

supervised.pca | Supervised PCA |

tc.plot | Plot of longitudinal data |

testIndBeta | Beta regression conditional independence test for... |

testIndBinom | Binomial regression conditional independence test for success... |

testIndClogit | Conditional independence test based on conditional logistic... |

testIndFisher | Fisher and Spearman conditional independence test for... |

testIndGamma | Regression conditional independence test for positive... |

testIndGEEReg | Linear mixed models conditional independence test for... |

testIndGLMMReg | Linear mixed models conditional independence test for... |

testIndLogistic | Conditional independence test for binary, categorical or... |

testIndPois | Regression conditional independence test for discrete... |

testIndReg | Linear (and non-linear) regression conditional independence... |

testIndSPML | Circular regression conditional independence test for... |

testIndTimeLogistic | Conditional independence test for the static-longitudinal... |

testIndTobit | Conditional independence test for survival data |

topological_sort | Topological sort of a DAG |

transitiveClosure | Returns the transitive closure of an adjacency matrix |

triangles.search | Search for triangles in an undirected graph |

undir.path | Undirected path(s) between two nodes |

univregs | Univariate regression based tests |

wald.logisticregs | Many Wald based tests for logistic and Poisson regressions... |

zip.mod | Zero inflated Poisson regression |

zip.regs | Many simple zero inflated Poisson regressions. |

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