ldmppr_fit: Fitted point-process model object

In ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes

Fitted point-process model object

Description

Objects of class ldmppr_fit are returned by estimate_process_parameters. They contain the best-fitting optimization result (and optionally multiple fits, e.g. from a delta search) along with metadata used to reproduce the fit.

Usage

## S3 method for class 'ldmppr_fit'
print(x, ...)

## S3 method for class 'ldmppr_fit'
coef(object, ...)

## S3 method for class 'ldmppr_fit'
logLik(object, ...)

## S3 method for class 'ldmppr_fit'
summary(object, ...)

## S3 method for class 'summary.ldmppr_fit'
print(x, ...)

## S3 method for class 'ldmppr_fit'
plot(x, ...)

as_nloptr(x, ...)

## S3 method for class 'ldmppr_fit'
as_nloptr(x, ...)

## S3 method for class 'ldmppr_fit'
nobs(object, ...)

## S3 method for class 'ldmppr_fit'
as.data.frame(x, ...)

Arguments

x	an object of class ldmppr_fit.
...	additional arguments (not used).
object	an object of class ldmppr_fit.

Details

A ldmppr_fit is a list with (at minimum):

• process: process name (e.g. "self_correcting")

• fit: best optimization result (currently an nloptr object)

• mapping: mapping information (e.g. chosen delta, objectives)

• grid: grid definitions used by likelihood approximation

Value

print()

prints a brief summary of the fit.

coef()

returns the estimated parameter vector.

logLik()

returns the log-likelihood at the optimum.

summary()

returns a summary.ldmppr_fit.

plot()

plots diagnostics for multi-fit runs, if available.

Methods (by generic)

• print(ldmppr_fit): Print a brief summary of a fitted model.

• coef(ldmppr_fit): Extract the estimated parameter vector.

• logLik(ldmppr_fit): Log-likelihood at the optimum.

• summary(ldmppr_fit): Summarize a fitted model.

• plot(ldmppr_fit): Plot diagnostics for a fitted model.

• as_nloptr(ldmppr_fit): Extract the underlying nloptr result.

• nobs(ldmppr_fit): Number of observations used in the fitted model.

• as.data.frame(ldmppr_fit): Coerce fit summary to a one-row data frame.

Functions

• print(summary.ldmppr_fit): Print a summary produced by summary.ldmppr_fit.

• as_nloptr(): Extract the underlying nloptr result.

ldmppr documentation built on March 3, 2026, 9:06 a.m.