modelFrame {BIOdry}  R Documentation 
This function develops recursive evaluation of functions for onelevel modeling (FOLM) and LME detrending of dendroclimatic chronologies.
modelFrame(rd, fn = list("rtimes", "scacum", "amod"), lv = list(2, 1, 1), form = "tdForm", ...)
rd 

fn 

lv 

form 

... 
Further arguments in 
Defaults model fluctuations in
treering width chronologies via recursive
implementation of four FOLM:
rtimes
, scacum
,
amod
, and
frametoLme
. Nevertheless,
other FOLM can be implemented to model
aridityindex fluctuations(see example with
climatic data). Processed chronologies are
detrended with lme
function
and other nlme
methods
. Internal algorithm uses
shiftFrame
arguSelect
and
ringApply
functions. Consequently, arguments that are
not iterated over factorlevel labels in the
processed data are specified in 'MoreArgs'
lists (see examples). Arguments in
modelFrame
objects can be updated
with update
function.
Threefold list with fluctuations in fluc
,
groupedData object in model
, and model call in
call
.
Wilson Lara <wilarhen@gmail.com>, Felipe Bravo <fbravo@pvs.uva.es>
Lara W., F. Bravo, D. Maguire. 2013. Modeling patterns between drought and tree biomass growth from dendrochronological data: A multilevel approach. Agric. For. Meteorol., 178179:140151.
##TRW chronology (mm) and insidebark radii data(Pchron,envir = environment()) ## Parameters of allometric model to compute Diameter at Breast ## Height over bark (DBH, cm) from diameter inside bark (dib, cm) ## and Total Tree Biomass (TTB, kg tree 1 ) from DBH (Lara ## et. al. 2013): biom_param < c(2.87, 0.85, 0.05, 2.5) ## Modeling treebiomass fluctuations while accounting for ## withinplot source variability (see defaults in "modelFrame" ## function) trwf < modelFrame(Pchron, to = 'cm', MoreArgs = list(mp = c(2,1, biom_param)), log.t = FALSE, on.time = FALSE) ## Climatic records: data(Temp,envir = environment()) data(Prec,envir = environment()) ## Aridityindex fluctuations: aif < modelFrame(rd = list(Prec, Temp), fn = list('moveYr','wlai'), lv = list('year','year'), form = 'lmeForm') summary(aif$'model')