hcl_palette_52

hcl_palette_100

<p>Palettes to use in the plotting functions. This is from <code>colorspace::sequential_hcl(n)</code> with n=100 or n=52.</p>

internal

sysdata

The MARSS package provides maximum-likelihood parameter
estimation for constrained and unconstrained linear multivariate autoregressive
state-space (MARSS) models, including partially deterministic models. MARSS models are a class
of dynamic linear model (DLM) and vector autoregressive model (VAR)
model. Fitting available via Expectation-Maximization (EM), BFGS (using optim), and 'TMB'
(using the 'marssTMB' companion package). Functions are provided for parametric and
innovations bootstrapping, Kalman filtering and smoothing, model selection criteria including
bootstrap AICb, confidences intervals via the Hessian approximation or bootstrapping, and all
conditional residual types. See the user guide for examples of dynamic factor analysis,
dynamic linear models, outlier and shock detection, and multivariate AR-p models.
Online workshops (lectures, eBook, and computer labs)
at <https://atsa-es.github.io/>.

sysdata: Palettes

Description

Arguments