| SNSequate-package | Standard and Nonstandard Statistical Models and Methods for Test Equating | 
| ACTmKB | Scores on two 40-items ACT mathematics test forms | 
| bandwidth | Automatic selection of the bandwidth parameter 'h' | 
| bandwidth.default | Automatic selection of the bandwidth parameter 'h' | 
| BB.smooth | Pre-smoothing using beta4 models. | 
| BB.smooth.default | Pre-smoothing using beta4 models. | 
| BNP.eq | Bayesian non-parametric model for test equating | 
| BNP.eq.predict | Prediction step for Bayesian non-parametric model for test equating | 
| CBdata | Observed (raw) score values for two different tests | 
| discrete.smooth | Pre-smoothing using discrete kernels. | 
| discrete.smooth.default | Pre-smoothing using discrete kernels. | 
| eqp.eq | The equipercentile method of equating | 
| eqp.eq.default | The equipercentile method of equating | 
| gof | Functions to assess model fitting. | 
| irt.eq | IRT methods for Test Equating | 
| irt.eq.default | IRT methods for Test Equating | 
| irt.link | IRT parameter linking methods | 
| irt.link.default | IRT parameter linking methods | 
| KB36 | Data on two 36-items test forms | 
| KB36.1PL | Difficulty parameter estimates for KB36 data under a 1PL model | 
| KB36_t | Data on two 36-items test forms | 
| ker.eq | The Kernel method of test equating | 
| ker.eq.default | The Kernel method of test equating | 
| le.eq | Local equating methods | 
| le.eq.default | Local equating methods | 
| lin.eq | The linear method of equating | 
| lin.eq.default | The linear method of equating | 
| loglin.smooth | Pre-smoothing using log-linear models. | 
| loglin.smooth.default | Pre-smoothing using log-linear models. | 
| Math20EG | Scores on two 20-items mathematics tests. | 
| Math20SG | Bivariate score frequencies on two 20-items mathematics tests. | 
| mea.eq | The mean method of equating | 
| mea.eq.default | The mean method of equating | 
| PREp | Percent relative error | 
| PREp.default | Percent relative error | 
| rowBlockSum | Take a matrix and sum blocks of rows | 
| SEED | Standard error of equating difference | 
| SEED.default | Standard error of equating difference | 
| SEPA | A sample of observed score values for two different forms of the SEPA test. | 
| sim_unimodal | Simulate test scores. | 
| SNSequate | Standard and Nonstandard Statistical Models and Methods for Test Equating |