Learn R Programming

rtrim (version 2.3.1)

Trends and Indices for Monitoring Data

Description

The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See for more information about TRIM.

Copy Link

Version

Install

install.packages('rtrim')

Monthly Downloads

812

Version

2.3.1

License

EUPL

Issues

13

Pull Requests

0

Stars

10

Forks

1

Maintainer

Adriaan Meyling

Last Published

February 13th, 2026

Functions in rtrim (2.3.1)

get_time_indices

Extract time indices from tof object
index

Extract time-indices from TRIM output.
print.trim

print a 'trim' object
get_time_totals

Extract time totals from tof object
print.trim.gof

Print method for trim.gof
plot.trim.smooth

Plot overall slope
heatmap

Plot a heatmap representation of observed and/or imputed counts.
plot.trim.overall

Plot overall slope
rtrim-package

Trend and Indices for Monitoring Data
gof

Extract TRIM goodness-of-fit information.
serial_correlation

Extract serial correlation from TRIM object
print.trim.overall

Print an object of class trim.overall
overdispersion

Extract overdispersion from trim object
results

collect observed, modelled, and imputed counts from TRIM output
totals

Extract time-totals from TRIM output
print.count.summary

print a count summary
overall

Compute overall slope
now_what

Give advice on further refinement of TRIM models
print.trim.wald

Print an object of class trim.wald
plot.trim.totals

Plot time-totals from trim output.
read_tcf

Read a TRIM command file
print.trimcommand

print a trimcommand object
read_vcv

Read a TRIM3 variance-covariance output file
plot.trim.index

Plot time-indices from trim output.
oystercatcher

Oystercatcher population data
trim_workhorse

TRIM workhorse function
wald

Test significance of TRIM coefficients with the Wald test
trim

Estimate TRIM model parameters.
read_tdf

Read TRIM data files
read_tof

Read a TRIM3 output file
trim_refine

TRIM stepwise refinement
skylark

Skylark population data
set_trim_verbose

Set verbosity of trim model functions
trim_estimate

TRIM estimation function
summary.trim

Summary information for a TRIM job
summary.trimbatch

summarize a trimbatch object
trimcommand

Create a trimcommand object
vcov.trim

Extract variance-covariance matrix from TRIM output
trendlines

Extract 'overall' trendlines
ci_multipliers

Compute Std.err ==> conf.int multipliers.
count_summary

Compute a summary of counts
get_model

Extract model type from tof object
coef.trim

Extract TRIM model coefficients.
confint.trim

Compute time-totals confidence interval
check_observations

Check whether there are sufficient observations to run a model
get_n_time

Extract nr of sites from tof object
get_overal_imputed_slope

Extract overall imputed slope tof object
get_coef

Extract model coefficients from tof object
get_n_site

Extract nr of times from tof object
get_version

Extract TRIM version used for output
get_wald

Extract Wald test parameters from tof object
get_estimation_method

Extract estimation method from tof object
get_gof

Extract goodness of fit from tof object