em.arima

em.spline

em.gam

em.arrangemat

em.arrangevec

em.contribt1

em.contribt2

em.correctmat

em.countmvec

em.countmnear

em.det

em.dispersion

em.existna

em.extractcoord

em.mean

em.multiplyvec

em.partmu

em.partsigma

em.putvalue

em.rearrangemat

em.rearrangevec

em.replacewmean

em.splitvec

em.trace

em.filter

em.recursion

em.nofilter

<p>Internal functions called from within <code><a rd-options="" href="/link/mnimput?package=mtsdi&version=0.3.5" data-mini-rdoc="mtsdi::mnimput">mnimput</a></code></p>

internal

Internal

This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a non-parametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.

Washington Junger

mtsdi

Multivariate Time Series Data Imputation

Internal function

<p>Internal functions called from within <code><a rd-options='' href='mnimput'>mnimput</a></code></p>

Internal function — Internal

Internal: Internal function

Description

Arguments

Details