Function reference • mcgf

All functions

acf_rs(): Calculate regime-switching auto-correlation

acfs(): Generic function for calculating autocorrelation

acfs(<mcgf>) acfs(<mcgf_rs>) `acfs<-`() 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>) `base<-`(): 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_lagr(): Generic function for adding a Lagrangian model

add_lagr(<mcgf>) `lagr<-`(): 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.

ccf_rs(): Calculate regime-switching cross-correlation

ccfs(): Generic function for calculating cross-correlation

ccfs(<mcgf>) ccfs(<mcgf_rs>) `ccfs<-`() add_ccfs(): Extract, calculate, or assign cross-correlations for an mcgf or mcgf_rs object

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_rsobject

cor2cov() 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>) `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() as.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.

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>) model(<mcgf_rs>): Display fitted models for an mcgf or mcgf_rs object

print(<mcgf>): Print an mcgf object.

rdists(): Generate random distance matrices

sd_rs(): Calculate standard deviation for each location under each regime.

sds(): Generic function for standard deviations for each column

sds(<mcgf>) sds(<mcgf_rs>) `sds<-`(): Extract, calculate, or assign standard deviations for an mcgf or mcgf_rs object.

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