R: Markov Chain Gaussian Fields Simulation and Parameter Estimation

# Markov Chain Gaussian Fields Simulation and Parameter Estimation

## Documentation for package ‘mcgf’ version 1.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

acfs | Generic function for calculating autocorrelation
acfs.mcgf | Extract, calculate, or assign mean auto-correlations for an 'mcgf' or 'mcgf_rs' object
acfs.mcgf_rs | Extract, calculate, or assign mean auto-correlations for an 'mcgf' or 'mcgf_rs' object
acfs<- | Extract, calculate, or assign mean auto-correlations for an 'mcgf' or 'mcgf_rs' object
acf_rs | Calculate regime-switching auto-correlation
add_acfs | Extract, calculate, or assign mean auto-correlations for an 'mcgf' or 'mcgf_rs' object
add_base | Generic function for adding a base model
add_base.mcgf | Add base model outputted from 'fit_base()' to an 'mcgf' object.
add_base.mcgf_rs | Add base model outputted from 'fit_base()' to an 'mcgf_rs' object.
add_ccfs | Extract, calculate, or assign cross-correlations for an 'mcgf' or 'mcgf_rs' object
add_lagr | Generic function for adding a Lagrangian model
add_lagr.mcgf | Add lagr model outputted from 'fit_lagr()' to a 'mcgf' object.
add_lagr.mcgf_rs | Add lagr model outputted from 'fit_lagr()' to a 'mcgf_rs' object.
as.mcgf_rs | Check if an object is an 'mcgf_rs' object.
base<- | Add base model outputted from 'fit_base()' to an 'mcgf' object.
ccfs | Generic function for calculating cross-correlation
ccfs.mcgf | Extract, calculate, or assign cross-correlations for an 'mcgf' or 'mcgf_rs' object
ccfs.mcgf_rs | Extract, calculate, or assign cross-correlations for an 'mcgf' or 'mcgf_rs' object
ccfs<- | Extract, calculate, or assign cross-correlations for an 'mcgf' or 'mcgf_rs' object
ccf_rs | Calculate regime-switching cross-correlation
ccov | Generic functions for calculating joint covariance/correlation matrix for mcgf objects
ccov.mcgf | Covariance/correlation for joint distribution of an 'mcgf' object
ccov.mcgf_rs | Covariance/correlation for joint distribution of an 'mcgf_rs'object
cor2cov | Convert correlation to covariance
cor2cov_ar | Convert correlation to covariance
cor_cauchy | Calculate Cauchy correlation
cor_exp | Calculate exponential correlation
cor_fs | Calculate correlation for fully symmetric model
cor_lagr_askey | Calculate Lagrangian correlation of the Askey form
cor_lagr_exp | Calculate Lagrangian correlation of the exponential form
cor_lagr_tri | Calculate Lagrangian correlation of the triangular form
cor_sep | Calculate correlation for separable model
cor_stat | Calculate general stationary correlation.
cor_stat_rs | Calculate general stationary correlation.
dists | Generic function for calculating distance matrices
dists.mcgf | Calculating distance matrices for an 'mcgf' object
dists<- | Calculating distance matrices for an 'mcgf' object
find_dists | Calculate (signed) distances between coordinates
find_dists_new | Calculate (signed) distances between coordinates
fit_base | Fit correlation base models
fit_base.mcgf | Parameter estimation for symmetric correlation functions for an 'mcgf' object.
fit_base.mcgf_rs | Parameter estimation for symmetric correlation functions for an 'mcgf_rs' object.
fit_lagr | Fit correlation Lagrangian models
fit_lagr.mcgf | Parameter estimation for Lagrangian correlation functions for an 'mcgf' object.
fit_lagr.mcgf_rs | Parameter estimation for Lagrangian correlation functions for an 'mcgf_rs' object.
is.mcgf | Check if an object is an 'mcgf' object.
is.mcgf_rs | Check if an object is an 'mcgf_rs' object.
krige | Generic function for computing kriging forecasts
krige.mcgf | Obtain kriging forecasts for an 'mcgf' object.
krige.mcgf_rs | Obtain kriging forecasts for an 'mcgf_rs' object.
krige_new | Generic function for computing kriging forecasts for new locations
krige_new.mcgf | Obtain kriging forecasts for new locations for an 'mcgf' object.
krige_new.mcgf_rs | Obtain kriging forecasts for new locations for an 'mcgf_rs' object.
lagr<- | Add lagr model outputted from 'fit_lagr()' to a 'mcgf' object.
mcgf | Create mcgf object
mcgf_rs | Create mcgf_rs object
mcgf_rs_sim | Simulate regime-switching Markov chain Gaussian field
mcgf_sim | Simulate Markov chain Gaussian field
model | Generic function for displaying fitted models for 'mcgf' objects
model.mcgf | Display fitted models for an 'mcgf' or 'mcgf_rs' object
model.mcgf_rs | Display fitted models for an 'mcgf' or 'mcgf_rs' object
print.mcgf | Print an 'mcgf' object.
rdists | Generate random distance matrices
sds | Generic function for standard deviations for each column
sds.mcgf | Extract, calculate, or assign standard deviations for an 'mcgf' or 'mcgf_rs' object.
sds.mcgf_rs | Extract, calculate, or assign standard deviations for an 'mcgf' or 'mcgf_rs' object.
sds<- | Extract, calculate, or assign standard deviations for an 'mcgf' or 'mcgf_rs' object.
sd_rs | Calculate standard deviation for each location under each regime.
sim1 | Simulated Markov chain Gaussian field
sim2 | Simulated regime-switching Markov chain Gaussian field
sim3 | Simulated regime-switching Markov chain Gaussian field
wind | Ireland wind data, 1961-1978
`dists<-` | Calculating distance matrices for an 'mcgf' object