Package index • PEcAnRTM

All functions
`EDR()`	ED radiative transfer module (EDR) wrapper function
`EDR.preprocess.history()`	Preprocess history file for EDR
`burnin.thin()`	Burn-in and thinning of MCMC samples
`cbind(<spectra>)`	Combine spectra by wavelength
`check.convergence()`	Check convergence of multiple MCMC chains
`default.settings.prospect`	Defult inversion settings for PROSPECT 5 models
`defparam()`	Get default parameters
`dtnorm()`	Truncated normal distribution density
`fortran_data_module()`	List to FORTRAN data module
`foursail()`	SAIL model
`generalized_plate_model()`	Generalized plate model
`generate.noise()`	Generate autocorrelated spectral noise
`get.EDR.output()`	Read EDR output
`invert.auto()`	Inversion with automatic convergence checking
`invert.custom()`	Bayesian inversion of a model
`invert.lsq()`	Least squares model inversion
`invert_bt()`	Perform Bayesian inversion using BayesianTools package
`load.from.name()`	Load object from an RData file
`lognorm.mu()`	Functions for default priors Lognormal mean parameters
`lognorm.sigma()`	Lognormal sigma parameter
`matplot()`	Matplot generic method
`matplot(<default>)`	Matplot default method
`matplot(<spectra>)`	Plot multiple spectra on same graph
`neff()`	Effective sample size
`params.prospect4`	PROSPECT 4 parameters
`params.prospect5`	PROSPECT 5 parameters
`params.prospect5b`	PROSPECT 5B parameters
`params.prospectd`	PROSPECT D parameters
`params2edr()`	Convert named parameter vector to EDR-compatible inputs
`plot(<spectra>)`	Plot spectra vs. wavelength
`print(<spectra>)`	Print method for spectra S3 class
`print_results_summary()`	Neatly print inversion results summary
`prior.defaultvals.prospect()`	Default prior parameters for PROSPECT models
`priorfunc.prospect()`	Default PROSPECT 5 prior function
`pro2s()`	Coupled PROSPECT-Two-stream model
`pro4sail()`	PRO4SAIL model
`pro4saild()`	PRO4SAILD model
`prospect()`	PROSPECT (4, 5, or 5B) model
`prospect_bt_prior()`	Quick BayesianTools prior creator for PROSPECT model
`read.rsr.folder()`	Read and process RSR data from directory
`resample()`	Resample vector, matrix, or spectra
`rsr.from.fwhm()`	Generate relative spectral response (RSR) matrix based on FWHM data
`rtm_loglike()`	Generic log-likelihood generator for RTMs
`rtnorm()`	Random sampling from one-sided truncated normal distribution
`sensor.list`	Sensor spectral response functions
`sensor.proper`	Sensor list with proper names
`setup_edr()`	Setup EDR run
`spectra()` `is_spectra()`	Spectra S3 class
`spectral.response()`	Convolution of spectra to sensor RSR
`str(<spectra>)`	Structure of `spectra` object
`[`(<spectra>)	Select spectra
`[[`(<spectra>)	Select spectra by wavelength
`[[<-`(<spectra>)	Assign values to spectra by wavelength
`summary_mvnorm()`	Multivariate normal fit
`summary_simple()`	Simple summary statistics on MCMC samples
`trim.rsr()`	Trim RSR matrix to wavelength limits
`wavelengths()`	Retrieve wavelengths from spectra object

Reference

All functions