Man pages for conroylau/lpinfer
An R Package for Inference in Linear Programs
| asmat | Coerces non-'sparseMatrix' objects as 'matrix' |
| beta.bs | Evaluate the bootstrap betas |
| beta.product | Computes vector products |
| beta.r.compute | Computes the restricted estimator in the 'fsst' procedure |
| beta.star.qp | Computes the starred components of \widehat{\bm{beta}} |
| bisec.eval | Evaluation of test statistic and check if the point has been... |
| bisec.print | Print messages in bisection procedure and store results |
| bs.assign | Auxiliary function in the bootstrap replications |
| bs.index | Auxiliary function to return the indices for bootstrap... |
| check.Ab | Check function: constraint matrix and the corresponding rhs... |
| check.betatgt | Check function: check if 'beta.tgt' is within the logical... |
| check.betatgt.lp | Construct the linear program for the function 'check.betatgt' |
| check.boolean | Check function: boolean variable |
| check.cores | Check function: check the number of cores |
| check.dataframe | Check function: data frame |
| check.datafunction | Check function: passing data to function |
| check.errormsg | General error for checking the objects |
| check.func | Check function: function |
| check.initb | Check function: check brackets |
| check.lpmodel | Check function: 'lpmodel' |
| check.lpobjects | Check function: matrices and vectors in 'lpmodel' |
| check.matrix | Check function: matrix |
| check.nonnegative | Check function: nonnegative number |
| check.norm | Check function: norm |
| check.numeric | Check function: numeric |
| check.numrange | Check function: range of a variable |
| check.positive | Check function: positive number |
| check.positiveinteger | Check function: positive integer |
| check.samplesize | Check function: sample size 'n' if 'data' is 'NULL' |
| check.solver | Check function: solvers |
| checkupdate.matrixroot | Checks whether the matrix square root is correct |
| check.vector | Check function: vector |
| chorussell | Conducts inference using the Cho-Russell procedure |
| chorussell.bs | Bootstrap procedure for the 'chorussell' procedure |
| chorussell.bs.fn | Carries out one bootstrap replication for the Cho-Russell... |
| chorussell.check | Checks and updates the input in the 'chorussell' procedure |
| chorussell.eval | Computes the required object in the 'chorussell' procedure |
| chorussell.lp | Computes the (1-alpha)-confidence interval in the... |
| chorussell.lp.fn | Computes whether the candidate bounds satisfy the constraints... |
| chorussell.lp.fn.unbd | Computes whether the candidate bounds satisfy the constraints... |
| chorussell.pt | Checks if 'beta.tgt' is inside the (1-alpha)-confidence... |
| chorussell.simp | Simplifies the candidates to be considered in 'chorussell' |
| chorussell.simp.fn | Checks one candidate in 'chorussell' |
| ci.bisection | Bisection method for constructing confidence intervals |
| ci.inout | Determine whether a point is inside the confidence interval... |
| consolidate.invertci | Consolidates and prints the 'summary' table in 'invertci' |
| construct.cv.table | General function to create a table of critical values |
| cplexapi.optim | LP and QP solver by 'cplexAPI' |
| dkqs | Conducts inference using the DKQS procedure |
| dkqs.bs | Bootstrap procedure for the DKQS procedure |
| dkqs.bs.fn | Carries out one bootstrap replication for the 'dkqs'... |
| dkqs.check | Checks and updates the input in 'dkqs' |
| dkqs.qlp | Formulates and solves the linear and quadratic programs in... |
| dmatrixconvert | Coerces a 'dgeMatrix' as a 'sparseMatrix' |
| error.id.match | Matches the id of the error messages |
| estbounds | Estimate bounds with shape restrictions |
| estbounds2.L1 | Estimates the bounds with shape constraints (stage 2 with... |
| estbounds2.L2 | Estimates the bounds with shape constraints (Stage 2 with... |
| estbounds.check | Checks and updates the input in 'estbounds' |
| estbounds.original | Computes the true bounds subjected to shape constraints |
| fsst | Conducts inference using the FSST procedure |
| fsst.beta.bs | Computing the bootstrap estimates of 'beta.obs' |
| fsst.beta.bs.fn | Computes one bootstrap estimates for 'beta.obs'. |
| fsst.beta.star.bs | Computes the bootstrap estimates of the starred version of... |
| fsst.beta.star.bs.fn | Computes one bootstrap estimates of 'beta.star' and 'x.star' |
| fsst.check | Checks and updates the input in 'fsst' |
| fsst.cone.bs | Computes the bootstrap estimates of the cone component of the... |
| fsst.cone.bs.fn | Computes one bootstrap estimate of the cone component of the... |
| fsst.cone.lp | Computes the solution to the cone problem |
| fsst.cv.table | Wrapper for the 'construct.cv.table' function for the 'fsst'... |
| fsst.label.lambda | Indicates the data-driven 'lambda' in the output |
| fsst.lambda | Data-driven choice of 'lambda' in the 'fsst' procedure |
| fsst.pval | Calculates the p-value for the 'fsst' procedure |
| fsst.range | Computes the range component of the test statistics |
| fsst.range.bs | Bootstrap procedure of computing the range component |
| fsst.range.bs.fn | Computes one bootstrap estimate for the range component of... |
| fsst.weight.matrix | Computes the weighting matrix in the 'fsst' procedure |
| full.beta.bs | Construct the full beta vector in the 'fsst' procedure |
| gurobi.optim | LP and QP solver by 'Gurobi' |
| infeasible.betatgt.warning | Display warning message for infeasible 'beta.tgt' |
| infeasible.msg.betatgt | General message for infeasible 'beta.tgt' |
| infeasible.pval.msg | Wrapper for 'infeasible.msg.betatgt' |
| invertci | Constructs confidence interval |
| invertci.check | Checks and updates the input of the function 'invertci' |
| invertci.show.param | Print the parameters used in the bisection method |
| limsolve.optim | LP and QP solver by 'limSolve' |
| lpmodel | Defines a 'lpmodel' object |
| lpmodel.anylist | Check if there is any list in the 'lpmodel' object |
| lpmodel.beta.eval | Evaluates the point estimate and asymptotic variance of... |
| lpmodel.eval | Evaluates an object inside 'lpmodel' |
| lpmodel.extractlist | Extracts the bootstrap replications of the 'lpmodel' object |
| lpmodel.natural | Define an 'lpmodel.natural' form object |
| lpmodel.update | Combines deterministic components and one bootstrap estimate... |
| lpm.print | Print the 'lpmodel' or 'lpmodel.natural' object |
| lpsolveapi.optim | LP solver by 'lpSolveAPI' |
| mincriterion | First-stage estimation procedure for 'estbounds' |
| mincriterion.check | Checks and updates the input in 'mincriterion' |
| objective.function | Computes the coefficient terms of the objective functions |
| post.bs | Auxiliary function for the post-bootstrap procedure |
| print.chorussell | Print results from 'chorussell' |
| print.dkqs | Print results from 'dkqs' |
| print.estbounds | Print results from 'estbounds' |
| print.fsst | Print results from 'fsst' |
| print.invertci | Print results from 'invertci' |
| print.invertci_multiple | Print results from 'invertci' with multiple significance... |
| print.invertci_single | Print results from 'invertci' with a single significance... |
| print.lpmodel | Print the 'lpmodel' object |
| print.lpmodel.natural | Print the 'lpmodel.natural' object |
| print.mincriterion | Print results from 'mincriterion' |
| print.subsample | Print results from the 'subsample' procedure |
| pval | Calculates the p-value |
| quan.stat | Function that computes the basic quantiles |
| rcplex.optim | LP and QP solver by 'Rcplex' |
| sampledata | Simulated data |
| sigma.summation | Computes the asymptotic variance estimator |
| smatrixconvert | Coerces a 'sparseMatrix' as a 'matrix' |
| standard.form | Obtain standard form of linear program |
| standard.lpmodel | Obtains standard form of linear program for constraints in... |
| subsample | Conducts inference using the subsampling procedure |
| subsample.bs | Bootstrap procedure for the 'subsample' procedure |
| subsample.bs.fn | Carries out one bootstrap replication for the subsampling... |
| subsample.check | Checks and updates the input in 'subsample' |
| subsample.prob | Formulates and solves the 'subsample' problem |
| summary.bisection.print | Print results in constructing bounds in bisection method |
| summary.chorussell | Summary of results from 'chorussell' |
| summary.dkqs | Summary of results from 'dkqs' |
| summary.estbounds | Summary of results from 'estbounds' |
| summary.fsst | Summary of results from 'fsst' |
| summary.invertci | Summary of results from 'invertci' |
| summary.invertci_multiple | Summary of results from 'invertci' for multiple significance... |
| summary.invertci_single | Summary of results from 'invertci' for a single significance... |
| summary.lpmodel | Summary of the 'lpmodel' object |
| summary.lpmodel.natural | Summary of the 'lpmodel.natural' object |
| summary.mincriterion | Summary of results from 'mincriterion' |
| summary.subsample | Summary of results from the 'subsample' procedure |
| tau.constraints | Creates the constraints for the linear program of 'tau' in... |
