rqResSum_optim: Site-Sum Randomized Quantile Residuals
In philipshirk/nmmsims: Simulate & Analyze N-mixture Model Data
Description
Usage
Arguments
Value
Description
Calculates Site-Sum Randomized-quantile residuals for a model fit with optim.
As defined in Knape et al. 2018 and available for unmarked models in the nmixgof package.
Usage
1
rqResSum_optim(n_obs, K, p_est, lambda_est, show.warnings = FALSE)
Arguments
n_obs
a matrix of observed counts, with rows = sites and columns = replicates
K
maximum possible true mean abundance, N
p_est
estimated mean (across distances = 0 to W) detection probability
lambda_est
estimated lambda (mean abundance across sites) from fitted model
Value
a matrix of residuals with the same dimensions as the observations, n_obs.
philipshirk/nmmsims documentation built on Feb. 26, 2020, 11:27 a.m.
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Description Usage Arguments Value
Description
Calculates Site-Sum Randomized-quantile residuals for a model fit with optim. As defined in Knape et al. 2018 and available for unmarked models in the nmixgof package.
Usage
1 | rqResSum_optim(n_obs, K, p_est, lambda_est, show.warnings = FALSE)
|
Arguments
n_obs |
a matrix of observed counts, with rows = sites and columns = replicates |
K |
maximum possible true mean abundance, N |
p_est |
estimated mean (across distances = 0 to W) detection probability |
lambda_est |
estimated lambda (mean abundance across sites) from fitted model |
Value
a matrix of residuals with the same dimensions as the observations, n_obs.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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