Package index • PEcAnAssimSequential

All functions
`Analysis.sda()`	Analysis.sda
`Construct_H()`	Construc_H
`Construct.H.multisite()`	Construct.H.multisite
`Construct.R()`	Construct.R
`Contruct.Pf()`	Contruct.Pf
`Create_Site_PFT_CSV()`	Title Identify pft for each site of a multi-site settings using NLCD and Eco-region
`EnKF.MultiSite()`	EnKF.MultiSite
`EnKF()`	EnKF
`GEF.MultiSite.Nimble`	multisite TWEnF
`GEF()` `GEF.MultiSite()`	GEF
`GrabFillMatrix()`	GrabFillMatrix
`Local.support()`	Local.support
`MCMC_Init()`	MCMC_Init
`MCMC_block_function()`	MCMC_block_function
`MCMC_function()`	MCMC_function
`Obs.data.prepare.MultiSite()`	Obs.data.prepare.MultiSite
`Prep_OBS_SDA()`	SDA observation preparation function for LAI and AGB
`Remote_Sync_launcher()`	Remote_Sync_launcher
`SDA_OBS_Assembler()`	Assembler for preparing obs.mean and obs.cov for the SDA workflow
`SDA_control()`	SDA_control
`SDA_downscale()`	SDA Downscale Function
`SDA_downscale_hrly()`	SDA Downscale Function for Hourly Data
`SDA_downscale_metrics()`	Calculate Metrics for Downscaling Results
`SDA_downscale_preprocess()`	Preprocess Data for Downscaling
`SDA_remote_launcher()`	SDA_remote_launcher
`adj.ens()`	adj.ens
`aggregate()`	Aggregation Function
`alltocs()`	alltocs
`alr()`	Additive Log Ratio transform
`analysis_sda_block()`	analysis_sda_block
`assessParams()`	assess.params
`block.2.vector()`	block.2.vector
`block_matrix()`	block_matrix
`build.block.xy()`	build.block.xy
`build_X()`	build_X
`conj_wt_wishart_sampler()`	Weighted conjugate wishart
`construct_nimble_H()`	construct_nimble_H
`dwtmnorm()`	weighted multivariate normal density
`get_ensemble_weights()`	get_ensemble_weights
`hop_test()`	hop_test
`interactive.plotting.sda()` `postana.timeser.plotting.sda()` `postana.bias.plotting.sda()` `postana.bias.plotting.sda.corr()` `post.analysis.ggplot()` `post.analysis.ggplot.violin()` `post.analysis.multisite.ggplot()` `SDA_timeseries_plot()`	Internal functions for plotting SDA outputs. Interactive, post analysis time-series and bias plots in base plotting system and ggplot
`inv.alr()`	inverse of ALR transform
`load_data_paleon_sda()`	load_data_paleon_sda
`y_star_create()`	load_nimble
`matrix_network()`	matrix_network
`metSplit()`	metSplit
`obs_timestep2timepoint()`	convert from timestep to actual time points. supports year, month, week, and day as time unit.
`outlier.detector.boxplot()`	outlier.detector.boxplot
`piecew.poly.local()`	piecew.poly.local
`rescaling_stateVars()`	rescaling_stateVars
`rwtmnorm()`	random weighted multivariate normal
`sample.parameters()`	sample parameters
`sample_met()`	Sample meteorological ensembles
`sampler_toggle()`	sampler toggling
`sda.enkf()`	State Variable Data Assimilation: Ensemble Kalman Filter and Generalized ensemble filter
`sda.enkf.multisite()`	State Variable Data Assimilation: Ensemble Kalman Filter and Generalized ensemble filter
`sda.enkf.original()`	State Variable Data Assimilation: Ensemble Kalman Filter
`sda_matchparam()`	sda_matchparam
`sda_weights_site()`	Calculate ensemble weights for each site at time t.
`simple.local()`	simple.local
`tobit.model`	TWEnF
`tobit2space.model`	Fit tobit prior to ensemble members
`tobit_model_censored()`	tobit_model_censored
`update_q()`	update_q

Reference

All functions