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 |