Man pages for bsts
Bayesian Structural Time Series
| add.ar | AR(p) state component |
| add.dynamic.regression | Dynamic Regression State Component |
| add.local.level | Local level trend state component |
| add.local.linear.trend | Local linear trend state component |
| add.monthly.annual.cycle | Monthly Annual Cycle State Component |
| add.random.walk.holiday | Random Walk Holiday State Model |
| add.seasonal | Seasonal State Component |
| add.semilocal.linear.trend | Semilocal Linear Trend |
| add.shared.local.level | Local level trend state component |
| add.static.intercept | Static Intercept State Component |
| add.student.local.linear.trend | Robust local linear trend |
| add.trig | Trigonometric Seasonal State Component |
| aggregate.time.series | Aggregate a fine time series to a coarse summary |
| aggregate.weeks.to.months | Aggregate a weekly time series to monthly |
| auto.ar | Sparse AR(p) |
| bsts | Bayesian Structural Time Series |
| bsts.options | Bsts Model Options |
| bsts-package | bsts |
| compare.bsts.models | Compare bsts models |
| date.range | Date Range |
| descriptive-plots | Descriptive Plots |
| diagnostic-plots | Diagnostic Plots |
| dirm | Dynamic intercept regression model |
| dirm-model-options | Specify Options for a Dynamic Intercept Regression Model |
| estimate.time.scale | Intervals between dates |
| extend.time | Extends a vector of dates to a given length |
| format.timestamps | Checking for Regularity |
| gdp | Gross Domestic Product for 57 Countries |
| geometric.sequence | Create a Geometric Sequence |
| get.fraction | Compute membership fractions |
| goog | Google stock price |
| HarveyCumulator | HarveyCumulator |
| holiday | Specifying Holidays |
| iclaims | Initial Claims Data |
| last.day.in.month | Find the last day in a month |
| MATCH.NumericTimestamps | Match Numeric Timestamps |
| match.week.to.month | Find the month containing a week |
| max.window.width | Maximum Window Width for a Holiday |
| mbsts | Multivariate Bayesian Structural Time Series |
| mixed.frequency | Models for mixed frequency time series |
| month.distance | Elapsed time in months |
| named.holidays | Holidays Recognized by Name |
| new.home.sales | New home sales and Google trends |
| one.step.prediction.errors | Prediction Errors |
| plot.bsts | Plotting functions for Bayesian structural time series |
| plot.bsts.mixed | Plotting functions for mixed frequency Bayesian structural... |
| plot.bsts.prediction | Plot predictions from Bayesian structural time series |
| plot.bsts.predictors | Plot the most likely predictors |
| plot.holiday | Plot Holiday Effects |
| plot.mbsts | Plotting Functions for Multivariate Bayesian Structural Time... |
| plot.mbsts.prediction | Plot Multivariate Bsts Predictions |
| predict.bsts | Prediction for Bayesian Structural Time Series |
| predict.mbsts | Prediction for Multivariate Bayesian Structural Time Series |
| quarter | Find the quarter in which a date occurs |
| regression.holiday | Regression Based Holiday Models |
| regularize.timestamps | Produce a Regular Series of Time Stamps |
| residuals.bsts | Residuals from a bsts Object |
| rsxfs | Retail sales, excluding food services |
| shark | Shark Attacks in Florida. |
| shorten | Shorten long names |
| simulate.fake.mixed.frequency.data | Simulate fake mixed frequency data |
| spike.slab.ar.prior | Spike and Slab Priors for AR Processes |
| state.sizes | Compute state dimensions |
| StateSpecification | Add a state component to a Bayesian structural time series... |
| SuggestBurn | Suggested burn-in size |
| summary.bsts | Summarize a Bayesian structural time series object |
| to.posixt | Convert to POSIXt |
| turkish | Turkish Electricity Usage |
| weekday.names | Days of the Week |
| week.ends | Check to see if a week contains the end of a month or quarter |
| wide.to.long | Convert Between Wide and Long Format |
