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exdqlm

The goal of exdqlm is to …

Installation

You can install the development version of exdqlm from GitHub with:

# install.packages("pak")
pak::pak("AntonioAPDL/exdqlm")

Example

This is a basic example which shows you how to solve a common problem:

library(exdqlm)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

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Version

Install

install.packages('exdqlm')

Monthly Downloads

8,915

Version

0.1.4

License

MIT + file LICENSE

Maintainer

Raquel Barata

Last Published

September 11th, 2025

Functions in exdqlm (0.1.4)

seasMod

Create Fourier representation of a periodic exDQLM component
exdqlmISVB

exDQLM - ISVB algorithm
compPlot

Plot a component of an exDQLM
BTflow

Monthly time-series of water flow at Big Tree water gauge.
combineMods

Combines state space blocks of an exDQLM
exdqlmMCMC

exDQLM - MCMC algorithm
exdqlmForecast

k-step-ahead quantile forecasts
exdqlmPlot

Plot exDQLM
exdqlmChecks

exDQLM Diagnostics
ELIanoms

Daily time-series of ELI anomalies.
polytrendMod

Create an n-th order polynomial exDQLM component
nino34

Monthly Niño 3.4 Index.
dlmMod

Create state space model of exDQLM from DLM
transfn_exdqlmISVB

Transfer Function exDQLM - ISVB algorithm
scIVTmag

Time series of daily average magnitude IVT in Santa Cruz, CA.