Man pages for mpascariu/pclm
Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data
| AIC.pclm | PCLM Akaike Information Criterion |
| AIC.pclm2D | PCLM-2D Akaike Information Criterion |
| BIC.pclm | PCLM Bayes Information Criterion |
| BIC.pclm2D | PCLM-2D Akaike Information Criterion |
| build_B_spline_basis | Construct B-spline basis This is an internal function which... |
| build_C_matrix | Build Composition Matrices |
| build_P_matrix | Construct Penalty Matrix |
| compute_standard_errors | Compute Standard Errors and Confidence Intervals |
| control.pclm | Auxiliary for Controlling 'pclm' Fitting |
| control.pclm2D | Auxiliary for Controlling 'pclm2D' Fitting |
| create.artificial.bin | Create an additional bin with a small value at the end.... |
| delete.artificial.bin | Delete from results the last group added artificially in pclm... |
| frac | Extract Fractional Part of a Number |
| map.bins | Map groups and borders |
| MortSmooth_bbase | Construct B-spline basis |
| MortSmooth_tpower | Truncated p-th Power Function |
| ofun | Objective function |
| optimize_par | Optimize Smoothing Parameters This function optimize searches... |
| pclm | Univariate Penalized Composite Link Model (PCLM) |
| pclm2D | Two-Dimensional Penalized Composite Link Model (PCLM-2D) |
| pclm.confidence | Compute Confidence Intervals for PCLM output |
| pclm.confidence.dx | Compute Confidence Intervals for estimated distribution |
| pclm.confidence.mx | Compute Confidence Intervals for estimated hazard |
| pclm.fit | Fit PCLM Models |
| pclm.input.check | Validate input values |
| plot.pclm | Generic Plot for pclm Class |
| plot.pclm2D | Generic Plot for pclm2D Class |
| print.pclm | Print for pclm method |
| print.pclm2D | Print method for pclm2D |
| print.summary.pclm | Print for summary.pclm method |
| print.summary.pclm2D | Print method for summary.pclm2D |
| print.ungroup.data | Print function for 'ungroup.data' |
| residuals.pclm | Extract PCLM Deviance Residuals |
| residuals.pclm2D | Extract PCLM-2D Deviance Residuals |
| seqlast | Sequence function with last value |
| suggest.valid.out.step | Suggest values of 'out.step' that do not require an... |
| summary.pclm | Summary for pclm method |
| summary.pclm2D | Summary method for pclm2D Generic function used to produce... |
| ungroup | ungroup: Penalized Composite Link Model for Efficient... |
| ungroup.data | Test Dataset in the Package |
| validate.nlast | Check if 'nlast' needs to be adjusted in order to accommodate... |
