Infrastructure for Forecasting and Assessment of Probabilistic
Models
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Documentation for package ‘topmodels’ version 0.3-0
Help Pages
A C D E G K L M N P Q R S T V W
-- A --
| autoplot.pithist | S3 Methods for Plotting PIT Histograms |
| autoplot.qqrplot | S3 Methods for Plotting Q-Q Residuals Plots |
| autoplot.reliagram | S3 Methods for a Reliagram (Extended Reliability Diagram) |
| autoplot.rootogram | S3 Methods for Plotting Rootograms |
-- C --
| c.pithist | PIT Histograms for Assessing Goodness of Fit of Probability Models |
| c.qqrplot | Q-Q Plots for Quantile Residuals |
| c.reliagram | Reliagram (Extended Reliability Diagram) |
| c.rootogram | Rootograms for Assessing Goodness of Fit of Probability Models |
| cdf.Empirical | Create an Empirical distribution |
| crps.BAMLSS | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Bernoulli | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Beta | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Binomial | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.distribution | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Erlang | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Exponential | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.GAMLSS | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Gamma | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Geometric | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.GEV | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Gumbel | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.HyperGeometric | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Logistic | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.LogNormal | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.NegativeBinomial | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Normal | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Poisson | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.StudentsT | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.Uniform | Method for Numerically Evaluating the CRPS of Probability Distributions |
| crps.XBetaX | Method for Numerically Evaluating the CRPS of Probability Distributions |
-- D --
| dempirical | Create an Empirical distribution |
-- E --
| Empirical | Create an Empirical distribution |
-- G --
| GeomPithist | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomPithistConfint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomPithistExpected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomPithistSimint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomQqrplot | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| GeomQqrplotConfint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| GeomQqrplotRef | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| GeomQqrplotSimint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| GeomRootogram | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomRootogramConfint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomRootogramExpected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| GeomRootogramRef | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_pithist | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_pithist_confint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_pithist_expected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_pithist_simint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_qqrplot | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| geom_qqrplot_confint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| geom_qqrplot_ref | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| geom_qqrplot_simint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| geom_rootogram | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_rootogram_confint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_rootogram_expected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| geom_rootogram_ref | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
-- K --
| kurtosis.Empirical | Create an Empirical distribution |
-- L --
| lines.pithist | S3 Methods for Plotting PIT Histograms |
| lines.reliagram | S3 Methods for a Reliagram (Extended Reliability Diagram) |
| log_pdf.Empirical | Create an Empirical distribution |
-- M --
| mean.Empirical | Create an Empirical distribution |
-- N --
| newresponse | Extract Observed Responses from New Data |
| newresponse.default | Extract Observed Responses from New Data |
| newresponse.distribution | Extract Observed Responses from New Data |
| newresponse.glm | Extract Observed Responses from New Data |
-- P --
| pdf.Empirical | Create an Empirical distribution |
| pempirical | Create an Empirical distribution |
| pithist | PIT Histograms for Assessing Goodness of Fit of Probability Models |
| pithist.default | PIT Histograms for Assessing Goodness of Fit of Probability Models |
| plot.pithist | S3 Methods for Plotting PIT Histograms |
| plot.qqrplot | S3 Methods for Plotting Q-Q Residuals Plots |
| plot.reliagram | S3 Methods for a Reliagram (Extended Reliability Diagram) |
| plot.rootogram | S3 Methods for Plotting Rootograms |
| points.qqrplot | S3 Methods for Plotting Q-Q Residuals Plots |
| predict.promodel | Predictions and Residuals Dispatch for Probabilistic Models |
| procast | Procast: Probabilistic Forecasting |
| procast.bamlss | Procast: Probabilistic Forecasting |
| procast.default | Procast: Probabilistic Forecasting |
| procast.disttree | Procast: Probabilistic Forecasting |
| procast.glm | Procast: Probabilistic Forecasting |
| procast.lm | Procast: Probabilistic Forecasting |
| promodel | Predictions and Residuals Dispatch for Probabilistic Models |
| proresiduals | Residuals for Probabilistic Regression Models |
| proresiduals.default | Residuals for Probabilistic Regression Models |
| proscore | Scoring Probabilistic Forecasts |
| proscore.default | Scoring Probabilistic Forecasts |
-- Q --
| qempirical | Create an Empirical distribution |
| qqrplot | Q-Q Plots for Quantile Residuals |
| qqrplot.default | Q-Q Plots for Quantile Residuals |
| quantile.Empirical | Create an Empirical distribution |
-- R --
| random.Empirical | Create an Empirical distribution |
| rbind.pithist | PIT Histograms for Assessing Goodness of Fit of Probability Models |
| rbind.rootogram | Rootograms for Assessing Goodness of Fit of Probability Models |
| reliagram | Reliagram (Extended Reliability Diagram) |
| reliagram.default | Reliagram (Extended Reliability Diagram) |
| rempirical | Create an Empirical distribution |
| residuals.promodel | Predictions and Residuals Dispatch for Probabilistic Models |
| rootogram | Rootograms for Assessing Goodness of Fit of Probability Models |
| rootogram.default | Rootograms for Assessing Goodness of Fit of Probability Models |
-- S --
| SerumPotassium | Serum Potassium Levels |
| skewness.Empirical | Create an Empirical distribution |
| StatPithist | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| StatPithistConfint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| StatPithistExpected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| StatPithistSimint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| StatQqrplotConfint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| StatQqrplotRef | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| StatQqrplotSimint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| StatRootogram | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| StatRootogramConfint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| StatRootogramExpected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_pithist | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_pithist_confint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_pithist_expected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_pithist_simint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_qqrplot_confint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| stat_qqrplot_ref | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| stat_qqrplot_simint | 'geom_*' and 'stat_*' for Producing Quantile Residual Q-Q Plots with 'ggplot2' |
| stat_rootogram | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_rootogram_confint | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| stat_rootogram_expected | 'geom_*' and 'stat_*' for Producing PIT Histograms with 'ggplot2' |
| support.Empirical | Create an Empirical distribution |
-- T --
| topmodels | Plotting Graphical Evaluation Tools for Probabilistic Models |
-- V --
| variance.Empirical | Create an Empirical distribution |
| VolcanoHeights | Tukey's Volcano Heights |
-- W --
| wormplot | Worm Plots for Quantile Residuals |
| wormplot.default | Worm Plots for Quantile Residuals |