| akaike.wts | Compute Akaike weights from AIC scores |
| as.paleoTS | Make a Paleontological Time-series object |
| as.paleoTSfit | Create a 'paleoTSfit' object |
| bootSimpleComplex | Bootstrap test to see if a complex model is significantly better than a simple model. |
| cantius_L | Time-series of the length of lower first molar for the Cantius lineage |
| checkSSMresiduals | Compute and (optionally) plot residuals from SSM model fit |
| compareModels | Compare model fits for a paleontological time-series |
| dorsal.spines | Time-series of dorsal spine data from a fossil stickleback lineage |
| ESD | Compute Expected Squared Divergence (ESD) for Evolutionary Models |
| fit.sgs | Fit a model of trait evolution with a protracted punctuation. |
| fit3models | Fit a set of standard evolutionary models |
| fit4models | Fit a set of standard evolutionary models |
| fit9models | Fit large set of models to a time-series |
| fitGpunc | Fit trait evolution model with punctuations estimated from the data |
| fitModeShift | Fit model in which the mode of trait evolution shifts once |
| fitMult | Fit the same simple model across multiple time-series |
| fitSimple | Fit simple models of trait evolution |
| IC | Compute Information Criteria |
| Kfiltertv | Time-varying Kalman filter calculations |
| ln.paleoTS | Approximate log-transformation of time-series data |
| LRI | Log-rate, Log-interval (LRI) method of Gingerich |
| lynchD | Compute Lynch's Delta rate metric |
| mle.GRW | Analytical ML estimator for random walk and stasis models |
| mle.Stasis | Analytical ML estimator for random walk and stasis models |
| mle.URW | Analytical ML estimator for random walk and stasis models |
| opt.covTrack | Fit a model in which a trait tracks a covariate |
| opt.GRW | Fit evolutionary model using "AD" parameterization |
| opt.GRW.shift | Fit random walk model with shift(s) in generating parameters |
| opt.joint.covTrack | Fit a model in which a trait tracks a covariate |
| opt.joint.GRW | Fit evolutionary models using the "Joint" parameterization |
| opt.joint.OU | Fit Ornstein-Uhlenbeck model using the "Joint" parameterization |
| opt.joint.punc | Fit a model of trait evolution with specified punctuation(s) |
| opt.joint.Stasis | Fit evolutionary models using the "Joint" parameterization |
| opt.joint.StrictStasis | Fit evolutionary models using the "Joint" parameterization |
| opt.joint.URW | Fit evolutionary models using the "Joint" parameterization |
| opt.punc | Fit a model of trait evolution with specified punctuation(s) |
| opt.ssm.ACDC | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.covOU | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.covOU_vshift | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.GRW | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.OU | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.Stasis | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.StrictStasis | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.URW | Fit evolutionary models using state-space models (SSM) |
| opt.ssm.URWshift | Fit evolutionary models using state-space models (SSM) |
| opt.Stasis | Fit evolutionary model using "AD" parameterization |
| opt.StrictStasis | Fit evolutionary model using "AD" parameterization |
| opt.URW | Fit evolutionary model using "AD" parameterization |
| plot.paleoTS | Plot a paleoTS object |
| pool.var | Compute a pooled variance |
| print.paleoTSfit | Print a paleoTSfit object |
| read.paleoTS | Read a text-file with data from a paleontological time-series |
| sim.covTrack | Simulate trait evolution that tracks a covariate |
| sim.GRW | Simulate random walk or directional time-series for trait evolution |
| sim.GRW.shift | Simulate (general) random walk with shift(s) in generating parameters |
| sim.OU | Simulate an Ornstein-Uhlenbeck time-series |
| sim.punc | Simulate a punctuated time-series |
| sim.sgs | Simulate protracted punctuation |
| sim.Stasis | Simulate Stasis time-series for trait evolution |
| sim.Stasis.RW | Simulate trait evolution with a mode shift |
| std.paleoTS | Convert time-series to standard deviation units |
| sub.paleoTS | Subsample a paleontological time-series |
| test.var.het | Test for heterogeneity of variances among samples in a time-series |