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