General purpose utility functions for science and data operations at Bird Conservancy of the Rockies
BCI Given a vector of MCMC posterior estimates for a parameter, provides a summary of the posterior median and credible interval
logit Converts a probability to the logit scale
expit Converts a logit probability to the probability scale
RunNimbleParallel Wrapper function for fitting a Bayesian model in Nimble while implementing parallel processing and automated checking of convergence (Rhat) and sampling (n.effective) criteria
mcmcList_to_mcmcOutput Converts mcmcList object (i.e., list of matrices containing mcmc samples from parallel chains) to a list with two elements, an mcmcOutput object and a summary table of all parameters
Derive_regression Applies linear model to series of parameters to derive their relationship with specified covariate. Typical use will be to derive trend for yearly population (e.g., occupancy or abundance) estimates
Impute_missing_covs_rf Imputes missing covariate values using a random forest informed by existing values of other covariates (maintains correlation structure of a set of covariates)
SumStats_df Generates summary statistics for a given set of covariates
tssr Generates time since sunrise value provided time at a given geographic coordinate
VIF Generates variance inflation factors often used to screen covariates to limit multicollinearity in regression analysis
str_detect_any Detects which elements of a given vector contain any element of a second string vector