| condmixt-package | Conditional Density Estimation with Neural Network Conditional Mixtures |
| condbergamixt.fit | Maximum likelihood estimation for conditional mixture parameters |
| condbergamixt.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condbergamixt.fwd | Forward pass in neural network conditional mixtures |
| condbergamixt.init | Conditional mixture parameter initial values |
| condbergamixt.negloglike | Negative log-likelihood for conditional mixture with a discrete component at zero. |
| condbergamixt.nll | Negative log-likelihood for conditional mixtures |
| condbergamixt.quant | Quantile computation for conditional mixtures. |
| condbergamixt.train | Training of conditional mixtures |
| condgaussmixt | The conditional Gaussian mixture distribution |
| condgaussmixt.dirac.condquant | Quantile computation for conditional mixtures. |
| condgaussmixt.dirac.fit | Maximum likelihood estimation for conditional mixture parameters |
| condgaussmixt.dirac.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condgaussmixt.dirac.fwd | Forward pass in neural network conditional mixtures |
| condgaussmixt.dirac.init | Conditional mixture parameter initial values |
| condgaussmixt.dirac.negloglike | Negative log-likelihood for conditional mixture with a discrete component at zero. |
| condgaussmixt.dirac.nll | Negative log-likelihood for conditional mixtures |
| condgaussmixt.dirac.quant | Quantile computation for conditional mixtures. |
| condgaussmixt.dirac.train | Training of conditional mixtures |
| condgaussmixt.fit | Maximum likelihood estimation for conditional mixture parameters |
| condgaussmixt.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condgaussmixt.fwd | Forward pass in neural network conditional mixtures |
| condgaussmixt.init | Conditional mixture parameter initial values |
| condgaussmixt.nll | Negative log-likelihood for conditional mixtures |
| condgaussmixt.quant | Quantile computation for conditional mixtures. |
| condgaussmixt.train | Training of conditional mixtures |
| condhparetomixt | The conditional hybrid Pareto mixture distribution |
| condhparetomixt.cvtrain.tailpen | Cross-validation of the conditinal mixture with hybrid Pareto components with a tail penalty added to the negative log-likelihood for training. |
| condhparetomixt.dirac.condquant | Quantile computation for conditional mixtures. |
| condhparetomixt.dirac.fit | Maximum likelihood estimation for conditional mixture parameters |
| condhparetomixt.dirac.fit.tailpen | Maximum likelihood estimation for conditional mixture parameters |
| condhparetomixt.dirac.foldtrain.tailpen | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condhparetomixt.dirac.fwd | Forward pass in neural network conditional mixtures |
| condhparetomixt.dirac.init | Conditional mixture parameter initial values |
| condhparetomixt.dirac.negloglike | Negative log-likelihood for conditional mixture with a discrete component at zero. |
| condhparetomixt.dirac.nll | Negative log-likelihood for conditional mixtures |
| condhparetomixt.dirac.nll.tailpen | Negative log-likelihood for conditional mixtures |
| condhparetomixt.dirac.quant | Quantile computation for conditional mixtures. |
| condhparetomixt.dirac.train.tailpen | Training of conditional mixtures |
| condhparetomixt.fit | Maximum likelihood estimation for conditional mixture parameters |
| condhparetomixt.fit.tailpen | Maximum likelihood estimation for conditional mixture parameters |
| condhparetomixt.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condhparetomixt.foldtrain.tailpen | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condhparetomixt.fwd | Forward pass in neural network conditional mixtures |
| condhparetomixt.init | Conditional mixture parameter initial values |
| condhparetomixt.nll | Negative log-likelihood for conditional mixtures |
| condhparetomixt.nll.tailpen | Negative log-likelihood for conditional mixtures |
| condhparetomixt.quant | Quantile computation for conditional mixtures. |
| condhparetomixt.train | Training of conditional mixtures |
| condhparetomixt.train.tailpen | Training of conditional mixtures |
| condlognormixt.dirac.condquant | Quantile computation for conditional mixtures. |
| condlognormixt.dirac.fit | Maximum likelihood estimation for conditional mixture parameters |
| condlognormixt.dirac.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condlognormixt.dirac.init | Conditional mixture parameter initial values |
| condlognormixt.dirac.negloglike | Negative log-likelihood for conditional mixture with a discrete component at zero. |
| condlognormixt.dirac.nll | Negative log-likelihood for conditional mixtures |
| condlognormixt.dirac.quant | Quantile computation for conditional mixtures. |
| condlognormixt.dirac.train | Training of conditional mixtures |
| condlognormixt.fit | Maximum likelihood estimation for conditional mixture parameters |
| condlognormixt.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condlognormixt.init | Conditional mixture parameter initial values |
| condlognormixt.nll | Negative log-likelihood for conditional mixtures |
| condlognormixt.quant | Quantile computation for conditional mixtures. |
| condlognormixt.train | Training of conditional mixtures |
| condmixt | Conditional Density Estimation with Neural Network Conditional Mixtures |
| condmixt.dirac.negloglike | Negative log-likelihood for conditional mixture with a discrete component at zero. |
| condmixt.fit | Maximum likelihood estimation for conditional mixture parameters |
| condmixt.foldtrain | Training of conditional mixtures and evaluation of the negative log-likelihood on validation data |
| condmixt.fwd | Forward pass in neural network conditional mixtures |
| condmixt.init | Conditional mixture parameter initial values |
| condmixt.nll | Negative log-likelihood for conditional mixtures |
| condmixt.quant | Quantile computation for conditional mixtures. |
| condmixt.train | Training of conditional mixtures |
| dcondgaussmixt | The conditional Gaussian mixture distribution |
| dcondhparetomixt | The conditional hybrid Pareto mixture distribution |
| dgaussmixt | Mixture of Gaussians |
| dhpareto | The Hybrid Pareto Distribution |
| dhparetomixt | Mixture of hybrid Paretos |
| dlognormixt | Mixture of Log-Normals |
| gaussmixt | Mixture of Gaussians |
| gaussmixt.init | Provides initial values for the parameters of a mixture of Gaussians based on a sample. |
| gpd.mme | Moment Estimator for the Generalized and the Hybrid Pareto Distribution |
| hillest | Hill Estimator |
| hpareto | The Hybrid Pareto Distribution |
| hpareto.alpha | Auxillary Parameters of the Hybrid Pareto Distribution |
| hpareto.beta | Auxillary Parameters of the Hybrid Pareto Distribution |
| hpareto.fit | Hybrid Pareto Maximum Likelihood Estimation |
| hpareto.gamma | Auxillary Parameters of the Hybrid Pareto Distribution |
| hpareto.mme | Moment Estimator for the Generalized and the Hybrid Pareto Distribution |
| hpareto.negloglike | Hybrid Pareto Maximum Likelihood Estimation |
| hparetomixt | Mixture of hybrid Paretos |
| hparetomixt.cvtrain | Maximum Likelihood Estimation for a Mixture of Hybrid Paretos |
| hparetomixt.cvtrain.tailpen | Maximum Likelihood Estimation for a Mixture of Hybrid Paretos with Tail Penalty |
| hparetomixt.disp | Display the Hybrid Pareto Mixture Parameters |
| hparetomixt.fit | Maximum Likelihood Estimation for a Mixture of Hybrid Paretos |
| hparetomixt.fit.tailpen | Maximum Likelihood Estimation for a Mixture of Hybrid Paretos with Tail Penalty |
| hparetomixt.init | Provides initial values for the parameters of a mixture of hybrid Paretos based on a sample. |
| hparetomixt.negloglike | Maximum Likelihood Estimation for a Mixture of Hybrid Paretos |
| hparetomixt.negloglike.tailpen | Maximum Likelihood Estimation for a Mixture of Hybrid Paretos with Tail Penalty |
| kneigh.condquant | Conditional quantile estimation from nearest neighbors. |
| lambertw | Lambert W Function |
| lognormixt | Mixture of Log-Normals |
| pcondgaussmixt | The conditional Gaussian mixture distribution |
| pcondhparetomixt | The conditional hybrid Pareto mixture distribution |
| pcondhparetomixt.dirac | The conditional hybrid Pareto mixture distribution |
| pgaussmixt | Mixture of Gaussians |
| phpareto | The Hybrid Pareto Distribution |
| phparetomixt | Mixture of hybrid Paretos |
| qhpareto | The Hybrid Pareto Distribution |
| rhpareto | The Hybrid Pareto Distribution |
| softplus | Softplus Transform |
| softplusinv | Softplus Transform |