rtrim2.3.0 package

Trends and Indices for Monitoring Data

confint.trim

Compute time-totals confidence interval

summary.trimbatch

summarize a trimbatch object

check_observations

Check whether there are sufficient observations to run a model

ci_multipliers

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

coef.trim

Extract TRIM model coefficients.

count_summary

Compute a summary of counts

get_coef

Extract model coefficients from tof object

get_estimation_method

Extract estimation method from tof object

get_gof

Extract goodness of fit from tof object

get_model

Extract model type from tof object

get_n_site

Extract nr of times from tof object

get_n_time

Extract nr of sites from tof object

get_overal_imputed_slope

Extract overall imputed slope tof object

get_time_indices

Extract time indices from tof object

get_time_totals

Extract time totals from tof object

get_version

Extract TRIM version used for output

get_wald

Extract Wald test parameters from tof object

gof

Extract TRIM goodness-of-fit information.

heatmap

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

index

Extract time-indices from TRIM output.

now_what

Give advice on further refinement of TRIM models

overall

Compute overall slope

overdispersion

Extract overdispersion from trim object

plot.trim.index

Plot time-indices from trim output.

plot.trim.overall

Plot overall slope

plot.trim.smooth

Plot overall slope

plot.trim.totals

Plot time-totals from trim output.

print.count.summary

print a count summary

print.trim.gof

Print method for trim.gof

print.trim.overall

Print an object of class trim.overall

print.trim

print a 'trim' object

print.trim.wald

Print an object of class trim.wald

print.trimcommand

print a trimcommand object

read_tcf

Read a TRIM command file

read_tdf

Read TRIM data files

read_tof

Read a TRIM3 output file

read_vcv

Read a TRIM3 variance-covariance output file

results

collect observed, modelled, and imputed counts from TRIM output

rtrim-package

Trend and Indices for Monitoring Data

serial_correlation

Extract serial correlation from TRIM object

set_trim_verbose

Set verbosity of trim model functions

summary.trim

Summary information for a TRIM job

totals

Extract time-totals from TRIM output

trendlines

Extract 'overall' trendlines

trim

Estimate TRIM model parameters.

trim_estimate

TRIM estimation function

trim_refine

TRIM stepwise refinement

trim_workhorse

TRIM workhorse function

trimcommand

Create a trimcommand object

vcov.trim

Extract variance-covariance matrix from TRIM output

wald

Test significance of TRIM coefficients with the Wald test

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 <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.

  • Maintainer: Patrick Bogaart
  • License: EUPL
  • Last published: 2024-06-21