search for: lmoment

I saw a Help e-mail related to MLE. Does R have a probability weighted method (PWM) estimator function? I can't seem to find anything on PWM, unless my eyes are playing trick on me. [[alternative HTML version deleted]]

Respected Sir I have to select a probability distribution using L-moment Ratio Diagram. I am not understanding how to plot sample TAU3 and TUA4 on L-moment Ratio Diagram. Please Guide me Best Regards -- AMINA SHAHZADI Department of Statistics GC University Lahore, Pakistan. Email: amnakhan493@gmail.com amna_989@hotmail.com amna_989@yahoo.com [[alternative HTML version deleted]]

Hi All, I am performing GEV analysis on temperature/precipitation data using L moments: dim(data) [1] 145 192 156 Lmoments <- apply(data, 1:2, function(x) samlmu(x,nmom=4,sort.data=TRUE)) params_GEV <- apply(Lmoments,2:3,pelgev) location <- params_GEV[1,,] (xi) scale <- params_GEV[2,,] (alpha) shape <- params_GEV[3,,] (k) I want to use the ks.boot function but I am unsure of how to implement it u...

...I am trying to use the extremes package. However, when I try to access it I get this message: The following object(s) are masked from ?package:stats?: > library( extRemes) Loading required package: tcltk Loading Tcl/Tk interface ... done Loading required package: ismev Loading required package: Lmoments Attaching package: ?extRemes? The following object(s) are masked from ?package:stats?: qqnorm, qqplot I looked back on some of the older post about this problem. Apparently it has something to do with the order of the packages. > search() [1] ".GlobalEnv" "package:extRe...

Hello, I am using the lmomco package (lmom.ub and pargev) to compute the GEV parameters (location, scale, and shape), which are used to estimate return values. I was wondering how/if I can calculate upper and lower confidence (CI_u, CI_l) intervals for each return frequency using the GEV parameters to fill-in the table below? Xi (location) = 35.396 Alpha (scale) = 1.726 Kappa (shape) =

..."lattice","latticeExtra","lazy","ldbounds","ldDesign","LDheatmap","leaps","lgtdl","limma","linprog","lme4","lmeSplines","LMGene","lmm","lmomco","Lmoments","lmtest","locfdr","locfit","lodplot","LogicReg","logistf","logspline","lokern","longitudinal","longmemo","LoopAnalyst","LowRankQP","lpridge","lpSolve",&...

Thanks for all your great answers. The app I?m working on is indeed an exploratory data analysis tool for gene expression, which requires a bunch of bioconductor packages. I guess for now, my best solution is to divide my app into modules and load/unload packages as the user switch from one module to another. This brought me another question: it seems that unload package with the