Man pages for BayesDecon
Density Deconvolution Using Bayesian Semiparametric Methods
| as.list.bdeconv_result | Density deconvolution using bayesian semiparametric methods |
| autoplot.bdeconv_result | Visualization of 'bdeconv_result' object using 'ggplot2' |
| BayesDecon_data_simulated | Simulated dataset for BayesDecon |
| BayesDecon-package | Density Deconvolution Using Bayesian Semiparametric Methods |
| bdeconv | Obtaining MCMC samples from the posterior |
| bdeconvmv_result | Constructor for 'mv_res' Objects |
| bdeconvnc_result | Constructor for 'nc_res' Objects |
| bdeconvzi_result | Constructor for 'zi_res' Objects |
| bspline | The Quadratic B-Spline Distribution |
| bspline_basis | Generate a B-spline Basis Matrix |
| bspline_cumbasis | Generate a B-spline Cumulative Basis Matrix |
| bspline_normcoef | Normalize B-Spline Parameters |
| dens_u | Error Density Evaluation |
| dens_x | Estimated density function for the true variable(s) |
| dist_u | Error Distribution Evaluation |
| dist_x | Estimated cumulative distribution function for the true... |
| fr | Maximization function for variance function B-spline... |
| fr.dens | Maximization function for B-spline distribution parameter... |
| fr.prob.nonzero | Maximization function for B-spline zero-inflation probability... |
| mean.bdeconv_result | Computing mean of MCMC samples |
| P1.mat | Generate a Penalty Matrix |
| P2.mat | Generate a Penalty Matrix |
| plot.bdeconv_result | Visualization of 'bdeconv_result' object |
| print.bdeconv_result | Printing summary of MCMC samples for 'bdeconv_result' object |
| prop.sig.thetas.fn | Generate a Proposal Variance Matrix for B-Spline Parameters |
| prop.sig.thetas.x.dens.fn | Generate a Proposal Variance Matrix for B-Spline Parameters... |
| register_autoplot_s3_methods | Register 'autoplot' methods to 'ggplot2' |
| register_s3_method | Register S3 Methods from External Packages |
| rtcnorm | The Restricted Two-Component Normal Distribution |
| subset_result | Subset Methods for 'bdeconv_result' object |
| tnorm | The Truncated Normal Distribution |
| var_e_fn | Variance Scaling For Mixtures of Restricted Two-Component... |
| varfun | Error Variance as a function of X |
