Infrastructure for Forecasting and Assessment of Probabilistic Models


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Documentation for package ‘topmodels’ version 0.3-0

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A B C D E F G I 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

-- B --

BAMLSS Create a BAMLSS Distribution

-- 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.BAMLSS Create a BAMLSS Distribution
cdf.GAMLSS Create a GAMLSS Distribution
crps.BAMLSS Methods for Evaluating the CRPS of Probability Distributions
crps.Bernoulli Methods for Evaluating the CRPS of Probability Distributions
crps.Beta Methods for Evaluating the CRPS of Probability Distributions
crps.Binomial Methods for Evaluating the CRPS of Probability Distributions
crps.distribution Methods for Evaluating the CRPS of Probability Distributions
crps.Erlang Methods for Evaluating the CRPS of Probability Distributions
crps.Exponential Methods for Evaluating the CRPS of Probability Distributions
crps.GAMLSS Methods for Evaluating the CRPS of Probability Distributions
crps.Gamma Methods for Evaluating the CRPS of Probability Distributions
crps.Geometric Methods for Evaluating the CRPS of Probability Distributions
crps.GEV Methods for Evaluating the CRPS of Probability Distributions
crps.Gumbel Methods for Evaluating the CRPS of Probability Distributions
crps.HyperGeometric Methods for Evaluating the CRPS of Probability Distributions
crps.Logistic Methods for Evaluating the CRPS of Probability Distributions
crps.LogNormal Methods for Evaluating the CRPS of Probability Distributions
crps.NegativeBinomial Methods for Evaluating the CRPS of Probability Distributions
crps.Normal Methods for Evaluating the CRPS of Probability Distributions
crps.Poisson Methods for Evaluating the CRPS of Probability Distributions
crps.StudentsT Methods for Evaluating the CRPS of Probability Distributions
crps.Uniform Methods for Evaluating the CRPS of Probability Distributions

-- D --

dempirical Create an Empirical distribution

-- E --

Empirical Create an Empirical distribution

-- F --

family.BAMLSS Create a BAMLSS Distribution
format.BAMLSS Create a BAMLSS Distribution
format.GAMLSS Create a GAMLSS Distribution

-- G --

GAMLSS Create a GAMLSS Distribution
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'

-- I --

is_continuous.BAMLSS Create a BAMLSS Distribution
is_continuous.GAMLSS Create a GAMLSS Distribution
is_discrete.BAMLSS Create a BAMLSS Distribution
is_discrete.GAMLSS Create a GAMLSS Distribution

-- K --

kurtosis.BAMLSS Create a BAMLSS Distribution
kurtosis.GAMLSS Create a GAMLSS Distribution

-- L --

lines.pithist S3 Methods for Plotting PIT Histograms
lines.reliagram S3 Methods for a Reliagram (Extended Reliability Diagram)
log_pdf.BAMLSS Create a BAMLSS Distribution
log_pdf.GAMLSS Create a GAMLSS Distribution

-- M --

mean.BAMLSS Create a BAMLSS Distribution
mean.GAMLSS Create a GAMLSS Distribution

-- N --

newresponse Extract Observed Responses from New Data
newresponse.default Extract Observed Responses from New Data
newresponse.gamlss Extract Observed Responses from New Data
newresponse.glm Extract Observed Responses from New Data

-- P --

pdf.BAMLSS Create a BAMLSS Distribution
pdf.GAMLSS Create a GAMLSS 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
pitresiduals Probability Integral Transform (PIT) Residuals
pitresiduals.default Probability Integral Transform (PIT) Residuals
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
print.BAMLSS Create a BAMLSS Distribution
print.GAMLSS Create a GAMLSS Distribution
procast Procast: Probabilistic Forecasting
procast.bamlss Procast: Probabilistic Forecasting
procast.default Procast: Probabilistic Forecasting
procast.glm Procast: Probabilistic Forecasting
procast.lm Procast: Probabilistic Forecasting
prodist.bamlss Extracting Fitted or Predicted Probability Distributions from bamlss Models
prodist.gamlss Extracting Fitted or Predicted Probability Distributions from gamlss 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
qresiduals (Randomized) Quantile Residuals
qresiduals.default (Randomized) Quantile Residuals
quantile.BAMLSS Create a BAMLSS Distribution
quantile.Empirical Create an Empirical distribution
quantile.GAMLSS Create a GAMLSS Distribution

-- R --

random.BAMLSS Create a BAMLSS Distribution
random.GAMLSS Create a GAMLSS 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
rootogram Rootograms for Assessing Goodness of Fit of Probability Models
rootogram.default Rootograms for Assessing Goodness of Fit of Probability Models

-- S --

skewness.BAMLSS Create a BAMLSS Distribution
skewness.GAMLSS Create a GAMLSS 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.BAMLSS Create a BAMLSS Distribution
support.GAMLSS Create a GAMLSS Distribution

-- T --

topmodels Plotting Graphical Evaluation Tools for Probabilistic Models

-- V --

variance.BAMLSS Create a BAMLSS Distribution
variance.GAMLSS Create a GAMLSS Distribution

-- W --

wormplot Worm Plots for Quantile Residuals
wormplot.default Worm Plots for Quantile Residuals