Function reference
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as.evoTS.multi.BW.acceldecel.fit() - Class for fit to evolutionary sequence (time-series) models
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as.evoTS.multi.BW.fit() - Class for fit to evolutionary sequence (time-series) models
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as.evoTS.multi.OU.fit() - Class for fit to evolutionary sequence (time-series) models
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as.evoTS.multi.URW.fit() - Class for fit to evolutionary sequence (time-series) models
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as.evoTS.multi.URW.shift.fit() - Class for fit to evolutionary sequence (time-series) models
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as.evoTSfit.OUBM() - Class for fit to evolutionary sequence (time-series) models
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diameter_S.yellowstonensis - Evolutionary sequence (time-series) of phenotypic change in diameter in the lineage Stephanodiscus yellowstonensis
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fit.all.univariate() - Fit all univariate models to an evolutionary sequence (time-series).
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fit.mode.shift() - Fit two models to two separate segments to an evolutionary sequence (time-series).
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fit.multivariate.OU() - Fit predefined multivariate Ornstein-Uhlenbeck models to multivariate evolutionary sequence (time-series) data.
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fit.multivariate.OU.user.defined() - Fit user-defined multivariate Ornstein-Uhlenbeck models to multivariate evolutionary sequence (time-series) data.
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fit.multivariate.URW() - Fit multivariate Unbiased Random Walk models to multivariate evolutionary sequence (time-series) data.
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fit.multivariate.URW.shift() - Fit separate multivariate Unbiased Random Walk models to two different segments of a multivariate evolutionary sequence (time-series).
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logL.joint.OU.BM() - Log-likelihoods for evolutionary models
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logL.joint.Stasis.OU() - Log-likelihoods for evolutionary models
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logL.joint.URW.URW() - Log-likelihoods for evolutionary models
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logL.joint.accel.decel.single.R() - Log-likelihoods for evolutionary models
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logL.joint.accel.decel.single.R.zero.corr() - Log-likelihoods for evolutionary models
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logL.joint.accel_decel() - Log-likelihoods for evolutionary models
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logL.joint.multi.OUOU() - Log-likelihoods for evolutionary models
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logL.joint.multi.OUOU.user() - Log-likelihoods for evolutionary models
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logL.joint.multi.R() - Log-likelihoods for evolutionary models
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logL.joint.single.R() - Log-likelihoods for evolutionary models
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logL.joint.single.R.zero.corr() - Log-likelihoods for evolutionary models
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loglik.surface.GRW() - Calculate the log-likelihood surface for a part of parameter space
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loglik.surface.OU() - Calculate the log-likelihood surface for a part of parameter space
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loglik.surface.OUBM() - Calculate the log-likelihood surface for a part of parameter space
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loglik.surface.URW() - Calculate the log-likelihood surface for a part of parameter space
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loglik.surface.accel() - Calculate the log-likelihood surface for a part of parameter space
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loglik.surface.decel() - Calculate the log-likelihood surface for a part of parameter space
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loglik.surface.stasis() - Calculate the log-likelihood surface for a part of parameter space
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make.multivar.evoTS() - Makes a multivariate data set of
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opt.accel.single.R() - Fit multivariate Unbiased Random Walk with increasing (exponential accelerating) rate of change through time.
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opt.accel.single.R.zero.corr() - Fit multivariate Unbiased Random Walk model with uncorrelated trait changes and with increasing (exponential accelerating) rate of change through time.
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opt.decel.single.R() - Fit multivariate Unbiased Random Walk with decreasing (exponential decaying) rate of change through time.
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opt.decel.single.R.zero.corr() - Fit multivariate Unbiased Random Walk model with uncorrelated trait changes and with decreasing (exponential decaying) rate of change through time.
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opt.joint.OUBM() - Fit an Ornstein-Uhlenbeck model with an optimum that evolves according to a Unbiased Random Walk.
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opt.joint.URW.Stasis() - Optimization and log-likelihoods for pairs of models.
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opt.joint.accel() - Fit an Unbiased Random Walk with an accelerating rate of change through time.
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opt.joint.decel() - Fit an Unbiased Random Walk with an decelerating rate of change through time.
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opt.single.R() - Fit multivariate Unbiased Random Walk model.
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opt.single.R.zero.corr() - Fit multivariate Unbiased Random Walk model with uncorrelated trait changes.
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plotevoTS() - Plot a paleoTS object
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plotevoTS.multivariate() - Plots multivariate evolutionary sequence (time-series) data set
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ribs_S.yellowstonensis - Evolutionary sequence (time-series) of phenotypic change in the number of ribs in the lineage Stephanodiscus yellowstonensis
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sim.OUBM() - Simulate an Ornstein-Uhlenbeck process with optimum changing according to an unbiased random walk
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sim.accel.decel() - Simulate an Unbiased Random Walk with an accelerating or decelerating rate of change through time.
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sim.multi.OU() - Simulate multivariate Ornstein-Uhlenbeck evolutionary sequence data sets
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sim.multi.URW() - Simulate multivariate evolutionary sequence data that evolve according to an Unbiased Random Walk