Man pages for ashiklom/PEcAnRTM
PEcAn functions used for radiative transfer modeling
| bt_check_convergence | Check convergence of BayesianTools output |
| burnin.thin | Burn-in and thinning of MCMC samples |
| cbind.spectra | Combine spectra by wavelength |
| check.convergence | Check convergence of multiple MCMC chains |
| corr_max_lag | Calculate max ACF lag from correlation power analysis |
| default.settings.prospect | Defult inversion settings for PROSPECT 5 models |
| defparam | Get default parameters |
| dtnorm | Truncated normal distribution density |
| EDR | ED radiative transfer module (EDR) wrapper function |
| EDR.preprocess.history | Preprocess history file for EDR |
| fortran_data_module | List to FORTRAN data module |
| foursail | SAIL model |
| generalized_plate_model | Generalized plate model |
| generate.noise | Generate autocorrelated spectral noise |
| generate.rsr.all | Generate RSR matrices for all sensors and return as list |
| get.EDR.output | Read EDR output |
| invert.auto | Inversion with automatic convergence checking |
| invert_bt | Perform Bayesian inversion using BayesianTools package |
| invert.custom | Bayesian inversion of a model |
| invert.lsq | Least squares model inversion |
| 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 |
| params2edr | Convert named parameter vector to EDR-compatible inputs |
| params.prospect4 | PROSPECT 4 parameters |
| params.prospect5 | PROSPECT 5 parameters |
| params.prospect5b | PROSPECT 5B parameters |
| params.prospectd | PROSPECT D parameters |
| plot.spectra | Plot spectra vs. wavelength |
| print_results_summary | Neatly print inversion results summary |
| print.spectra | Print method for spectra S3 class |
| 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... |
| 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 | Spectra S3 class |
| spectral.response | Convolution of spectra to sensor RSR |
| str.spectra | Structure of 'spectra' object |
| sub-.spectra | Select spectra |
| sub-subset-.spectra | Assign values to spectra by wavelength |
| sub-sub-.spectra | Select 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 |
