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| hisemi-package | The package includes functions for fitting hierarchical semiparametric regression model to a large number of parametric test statistics. |
| coef.hisemit | Extracts fitted parameters from a hisemit object |
| coefficients.hisemit | Extracts fitted parameters from a hisemit object |
| confint.hisemit | Extract Wald-type asymptotic confidence intervals from a hisemit object |
| directSum | Direct sum of matrices |
| EMupdate | Utility function performing EM algorithm updates |
| fitted.hisemit | Extract fitted values from a hisemit object |
| fitted.values.hisemit | Extract fitted values from a hisemit object |
| hisemi | The package includes functions for fitting hierarchical semiparametric regression model to a large number of parametric test statistics. |
| logistic.enp | Fit a logistic curve to the raw effective number of parameters over log smoothing parameter |
| logit | Logit link and its inverse |
| logit.inv | Logit link and its inverse |
| logLik.hisemit | Extract the log likelihood from a hisemit object |
| NRupdate | Utility function performing Newton-Raphson algorithm updates |
| OsplinePen | O-spline penalty matrix |
| penLik.EMNewton | Fits hierarchical semiparametric regression model to t-statistics |
| plot.hisemit | Plot a hisemit object |
| plotHisemitResid | Plot a hisemit object |
| plotHisemitTuning | Plot a hisemit object |
| print.hisemit | Print a summary of a hisemit object |
| resid.hisemit | Extract residuals from a hisemit object |
| residuals.hisemit | Extract residuals from a hisemit object |
| scaledTMix.null | Fit the null model to t-statistics |
| scaledTMix.psat | Fits a partially saturated model to t-statistics |
| scaledTMix.sat | Fits saturated model to t-statistics |
| summary.hisemit | Print a summary of a hisemit object |
| vcov.hisemit | Extract the asymptotic variance-covariance matrix of a hisemit object |