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ipmr (version 0.0.7)

Integral Projection Models

Description

Flexibly implements Integral Projection Models using a mathematical(ish) syntax. This package will not help with the vital rate modeling process, but will help convert those regression models into an IPM. 'ipmr' handles density dependence and environmental stochasticity, with a couple of options for implementing the latter. In addition, provides functions to avoid unintentional eviction of individuals from models. Additionally, provides model diagnostic tools, plotting functionality, stochastic/deterministic simulations, and analysis tools. Integral projection models are described in depth by Easterling et al. (2000) , Merow et al. (2013) , Rees et al. (2014) , and Metcalf et al. (2015) . Williams et al. (2012) discuss the problem of unintentional eviction.

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install.packages('ipmr')

Monthly Downloads

261

Version

0.0.7

License

MIT + file LICENSE

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Maintainer

Sam Levin

Last Published

February 16th, 2023

Functions in ipmr (0.0.7)

mean_kernel

Mean kernels for stochastic models
plot.ipmr_matrix

Plot a matrix or an *_ipm object
use_vr_model

Predict methods in ipmr
ipm_to_df

Convert ipmr matrix to long data frame
format_mega_kernel

Create iteration kernels from an IPM object
define_kernel

Functions to initialize and define IPM kernels
%^%

Raise a matrix to a power
%>%

Pipe operator
make_ipm

Methods to implement an IPM
lambda

Compute the per-capita growth rate for an IPM object
print.proto_ipm

Print proto_ipms or *_ipm objects
monocarp_proto

A proto_ipm for a monocarpic perennial
right_mult

Right/left multiplication
iceplant_ex

Raw demographic data to construct an example IPM
tidyeval

Tidy eval helpers
sim_di_det_ex

Simple deterministic IPM example
init_ipm

Initialize an IPM
truncated_distributions

Eviction correction
domains

Accessor functions for (proto_)ipm objects
gen_di_det_ex

A general deterministic IPM example
is_conv_to_asymptotic

Check for model convergence to asymptotic dynamics
define_impl

Helpers for IPM construction
make_ipm_report

Generate an RMarkdown file with IPM metadata
right_ev

Compute the standardized left and right eigenvectors via iteration
as.matrix.ipmr_matrix

Convert to bare matrices
collapse_pop_state

Extract threshold based population size information