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 13 Jun. 2026.
Previous versions and publish date:
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

sfinx  
Straightforward Filtering Index for AP-MS Data Analysis (SFINX)
The straightforward filtering index (SFINX) identifies true positive protein interactions in a fast ...
Download / Learn more Package Citations See dependency  
MicroDatosEs  
Utilities for Official Spanish Microdata
Provides utilities for reading and processing microdata from Spanish official statistics with R. ...
Download / Learn more Package Citations See dependency  
RGAN  
Generative Adversarial Nets (GAN) in R
An easy way to get started with Generative Adversarial Nets (GAN) in R. The GAN algorithm was initia ...
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  
kim  
A Toolkit for Behavioral Scientists
A collection of functions for analyzing data typically collected or used by behavioral scientists. ...
Download / Learn more Package Citations See dependency  
snowfall  
Easier Cluster Computing (Based on 'snow')
Usability wrapper around snow for easier development of parallel R programs. This package offers e.g ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

73,054

Author Associations

27,205

Publication Badges

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