Package: GUTS 1.2.6

GUTS: Fast Calculation of the Likelihood of a Stochastic Survival Model

Given exposure and survival time series as well as parameter values, GUTS allows for the fast calculation of the survival probabilities as well as the logarithm of the corresponding likelihood (see Albert, C., Vogel, S. and Ashauer, R. (2016) <doi:10.1371/journal.pcbi.1004978>).

Authors:Carlo Albert [aut], Sören Vogel [aut], Oliver Jakoby [aut, cre], Alexander Singer [aut], Dirk Nickisch [aut]

GUTS_1.2.6.tar.gz
GUTS_1.2.6.zip(r-4.7-x86_64)GUTS_1.2.6.zip(r-4.6-x86_64)GUTS_1.2.6.zip(r-4.5-x86_64)
GUTS_1.2.6.tgz(r-4.6-x86_64)GUTS_1.2.6.tgz(r-4.6-arm64)GUTS_1.2.6.tgz(r-4.5-x86_64)GUTS_1.2.6.tgz(r-4.5-arm64)
GUTS_1.2.6.tar.gz(r-4.7-arm64)GUTS_1.2.6.tar.gz(r-4.7-x86_64)GUTS_1.2.6.tar.gz(r-4.6-arm64)GUTS_1.2.6.tar.gz(r-4.6-x86_64)
GUTS_1.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GUTS/json (API)

# Install 'GUTS' in R:
install.packages('GUTS', repos = c('https://ojakoby.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • diazinon - GUTS data set with Gammarus pulex exposed to diazinon

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.58 score 19 scripts 342 downloads 6 exports 1 dependencies

Last updated from:a3766d7df3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK194
linux-devel-x86_64OK149
source / vignettesOK303
linux-release-arm64OK201
linux-release-x86_64OK175
macos-release-arm64OK133
macos-release-x86_64OK265
macos-oldrel-arm64OK144
macos-oldrel-x86_64OK287
windows-develOK162
windows-releaseOK114
windows-oldrelOK111
wasm-releaseOK131

Exports:guts_calc_loglikelihoodguts_calc_survivalprobsguts_report_damageguts_report_sppeguts_report_squaresguts_setup

Dependencies:Rcpp

GUTS software ring test for the GUTS-package
Summary | Prepare | Data set A - synthetic data | Synthetic data set from SD-model | Set up the guts object | Estimating parameters | Define joint log likelihood | Defining constraints on parameter values | Bayesian parameter estimation | Chain and distribution plots. | Estimated parameter values compared to the values that are used for data simulation in the ring test. | A plotting and evaluation function | Estimated parameters | Synthetic data set from IT-model | Chain and distribution plots | Estimated parameter values compared to the values that were used for data simulation. | Forecast | Setup guts object and forecast | Analyse projections | Literature
Rendered fromringTest.Rmdusingknitr::rmarkdown

Last update: 2022-02-01
Started: 2019-02-12

Analysing Diazinon impact on the freshwater crustacean Gammarus pulex using GUTS-RED-proper
Summary | Prepare | Set up the guts object | Estimating parameters | Define joint log likelihood | Define constraints on parameter values | Guess suitable initial values | Bayesian parameter estimation | Show parameter estimation results | Chain and distribution plots. | Estimated parameter values compared to the values. | Forecast | Setup guts object and forecast | Analyse projections | Literature
Rendered fromGUTS-proper.Rmdusingknitr::rmarkdown

Last update: 2021-12-02
Started: 2019-02-12

Readme and manuals

Help Manual

Help pageTopics
Fast Calculation of the Likelihood of a Stochastic Survival ModelGUTS-package $<-.GUTS modguts print.GUTS [[<-.GUTS
GUTS data set with Gammarus pulex exposed to diazinondiazinon
Fast Calculation of the Likelihood of a Stochastic Survival ModelGUTS guts guts_calc_loglikelihood guts_calc_survivalprobs guts_report_damage guts_report_sppe guts_report_squares guts_setup