Learn R Programming

rtrim (version 2.1.1)

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

638

Version

2.1.1

License

EUPL

Issues

12

Pull Requests

0

Stars

10

Forks

1

Maintainer

Adriaan Meyling

Last Published

April 21st, 2020

Functions in rtrim (2.1.1)

ci_multipliers

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

Extract goodness of fit from tof object
check_observations

Check whether there are sufficient observations to run a model
count_summary

Compute a summary of counts
coef.trim

Extract TRIM model coefficients.
confint.trim

Compute time-totals confidence interval
get_model

Extract model type from tof object
get_coef

Extract model coefficients from tof object
heatmap

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

Extract TRIM goodness-of-fit information.
plot.trim.overall

Plot overall slope
get_n_site

Extract nr of times from tof object
get_time_indices

Extract time indices from tof object
index

Extract time-indices from TRIM output.
get_version

Extract TRIM version used for output
now_what

Give advice on further refinement of TRIM models
serial_correlation

Extract serial correlation from TRIM object
get_n_time

Extract nr of sites from tof object
plot.trim.totals

Plot time-totals from trim output.
plot.trim.index

Plot time-indices from trim output.
set_trim_verbose

Set verbosity of trim model functions
oystercatcher

Oystercatcher population data
trimcommand

Create a trimcommand object
get_wald

Extract Wald test parameters from tof object
get_estimation_method

Extract estimation method from tof object
overall

Compute overall slope
print.trim.wald

Print an object of class trim.wald
overdispersion

Extract overdispersion from trim object
results

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

Extract time totals from tof object
rtrim-package

Trend and Indices for Monitoring Data
vcov.trim

Extract variance-covariance matrix from TRIM output
trim

Estimate TRIM model parameters.
trim_refine

TRIM stepwise refinement
print.trim

print a 'trim' object
print.count.summary

print a count summary
wald

Test significance of TRIM coefficients with the Wald test
trim_workhorse

TRIM workhorse function
print.trimcommand

print a trimcommand object
print.trim.overall

Print an object of class trim.overall
get_overal_imputed_slope

Extract overall imputed slope tof object
skylark

Skylark population data
read_tof

Read a TRIM3 output file
print.trim.gof

Print method for trim.gof
read_vcv

Read a TRIM3 variance-covariance output file
summary.trim

Summary information for a TRIM job
trim_estimate

TRIM estimation function
read_tcf

Read a TRIM command file
summary.trimbatch

summarize a trimbatch object
read_tdf

Read TRIM data files
totals

Extract time-totals from TRIM output