Other packages > Find by keyword >

sensiPhy  

Sensitivity Analysis for Comparative Methods
View on CRAN: Click here


Download and install sensiPhy package within the R console
Install from CRAN:
install.packages("sensiPhy")

Install from Github:
library("remotes")
install_github("cran/sensiPhy")

Install by package version:
library("remotes")
install_version("sensiPhy", "0.8.5")



Attach the package and use:
library("sensiPhy")
Maintained by
Gustavo Paterno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-18
Latest Update: 2020-04-02
Description:
An implementation of sensitivity analysis for phylogenetic comparative methods. The package is an umbrella of statistical and graphical methods that estimate and report different types of uncertainty in PCM: (i) Species Sampling uncertainty (sample size; influential species and clades). (ii) Phylogenetic uncertainty (different topologies and/or branch lengths). (iii) Data uncertainty (intraspecific variation and measurement error).
How to cite:
Gustavo Paterno (2016). sensiPhy: Sensitivity Analysis for Comparative Methods. R package version 0.8.5, https://cran.r-project.org/web/packages/sensiPhy. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 0.5.0 (2016-07-18 20:37), 0.6.0 (2017-01-14 00:59), 0.7.0 (2017-09-07 11:44), 0.8.0 (2017-12-15 08:11), 0.8.1 (2018-01-23 05:22), 0.8.2 (2018-06-12 22:29), 0.8.3 (2018-09-11 14:50), 0.8.4 (2019-12-10 21:50)
Other packages that cited sensiPhy R package
View sensiPhy citation profile
Other R packages that sensiPhy depends, imports, suggests or enhances
Complete documentation for sensiPhy
Functions, R codes and Examples using the sensiPhy R package
Some associated functions: alien.data . alien . alien.phy . clade_continuous . clade_discrete . clade_phyglm . clade_phylm . clade_physig . influ_continuous . influ_discrete . influ_phyglm . influ_phylm . influ_physig . intra_clade_phyglm . intra_clade_phylm . intra_influ_phyglm . intra_influ_phylm . intra_phyglm . intra_phylm . intra_physig . intra_samp_phyglm . intra_samp_phylm . match_dataphy . miss.phylo.d . primates.data . primates . primates.phy . samp_continuous . samp_discrete . samp_phyglm . samp_phylm . samp_physig . sensiPhy . sensi_plot.clade.physig . sensi_plot.influ.physig . sensi_plot.intra.physig . sensi_plot . sensi_plot.samp.physig . sensi_plot.sensiClade.TraitEvol . sensi_plot.sensiClade . sensi_plot.sensiInflu.TraitEvol . sensi_plot.sensiInflu . sensi_plot.sensiIntra . sensi_plot.sensiIntra_Clade . sensi_plot.sensiIntra_Influ . sensi_plot.sensiIntra_Samp . sensi_plot.sensiSamp.TraitEvol . sensi_plot.sensiSamp . sensi_plot.sensiTree.TraitEvol . sensi_plot.sensiTree . sensi_plot.sensiTree_Clade . sensi_plot.sensiTree_Influ . sensi_plot.sensiTree_Intra . sensi_plot.sensiTree_Samp . sensi_plot.tree.bd . sensi_plot.tree.physig . tree_bd . tree_clade_phyglm . tree_clade_phylm . tree_continuous . tree_discrete . tree_influ_phyglm . tree_influ_phylm . tree_intra_phyglm . tree_intra_phylm . tree_phyglm . tree_phylm . tree_physig . tree_samp_phyglm . tree_samp_phylm . 
Some associated R codes: clade_Discrete.R . clade_continuous.R . clade_phyglm.R . clade_phylm.R . clade_physig.R . document-data.R . influ_Discrete.R . influ_continuous.R . influ_phyglm.R . influ_phylm.R . influ_physig.R . intra_clade_phyglm.R . intra_clade_phylm.R . intra_influ_phyglm.R . intra_influ_phylm.R . intra_phyglm.R . intra_phylm.R . intra_physig.R . intra_samp_phyglm.R . intra_samp_phylm.R . match_dataphy.R . miss.phylo.d.R . print_methods.R . samp_Discrete.R . samp_continuous.R . samp_phyglm.R . samp_phylm.R . samp_physig.R . sensiPhy.R . sensi_plot.R . sensi_plot.clade.physig.R . sensi_plot.influ.physig.R . sensi_plot.samp.physig.R . sensi_plot.sensiClade.R . sensi_plot.sensiINTER_Clade.R . sensi_plot.sensiINTER_Influ.R . sensi_plot.sensiINTER_Samp.R . sensi_plot.sensiInflu.R . sensi_plot.sensiIntra.sensiTree.R . sensi_plot.sensiSamp.R . sensi_plot.tree.bd.R . sensi_plot.tree.physig.R . summary_methods.R . tree_Discrete.R . tree_bd.R . tree_clade_phyglm.R . tree_clade_phylm.R . tree_continuous.R . tree_influ_phyglm.R . tree_influ_phylm.R . tree_intra_phyglm.R . tree_intra_phylm.R . tree_phyglm.R . tree_phylm.R . tree_physig.R . tree_samp_phyglm.R . tree_samp_phylm.R . utils_internal.R . utils_plot.R .  Full sensiPhy package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA