# Log-Gaussian Cox Process Models with Approximations

## Documentation for package ‘rts2’ version 1.0.4

- DESCRIPTION file.

## Help Pages

rts2-package | Log-Gaussian Cox Process Models with Approximations
birmingham_crime | Birmingham crime data
boundary | Boundary polygon for Birmingham, UK
coef.rtsFit | Extracts fixed effect coefficients from a rtsFit object
confint.rtsFit | Fixed effect confidence intervals for a 'rtsFit' object
covariance.parameters | Extracts the estimates of the covariance parameters
create_points | Create sf object from point location data
disaggregate_covariate | Disaggregate regional means to fine grid, preserving aggregate means
disaggregate_positive | Disaggregation function for strictly positive covariates
example_points | Simulated point data for running single-period examples
family.grid | Extracts the family from a 'grid' object.
family.rtsFit | Extracts the family from a 'rtsFit' object.
fitted.rtsFit | Fitted values from a 'rtsFit' object
fixed.effects | Extracts the fixed effect estimates
flat_disaggregate | Simple flat disaggregation
formula.grid | Extracts the formula from a 'grid' object.
formula.rtsFit | Extracts the formula from a 'rtsFit' object.
grid | An rts grid object
logLik.rtsFit | Extracts the log-likelihood from an rtsFit object
predict.grid | Extract predictions from a 'grid' object
predict.rtsFit | Predict from a 'rtsFit' object
print.rtsFit | Prints an rtsFit fit output
print.rtsFitSummary | Prints an rtsFitSummary fit output
progress_bar | Generates a progress bar
random.effects | Extracts the random effect estimates
residuals.grid | Residuals method for a 'grid' object
residuals.rtsFit | Residuals method for a 'rtsFit' object
rts2 | Log-Gaussian Cox Process Models with Approximations
summary.grid | Summarizes a 'grid' object
summary.rtsFit | Summary method for class "rtsFit"
vcov.grid | Calculate Variance-Covariance matrix for a maximum likelihood object stored in 'grid'
vcov.rtsFit | Extract the Variance-Covariance matrix for a 'rtsFit' object