search for: asypow

I am trying to do power calculations for the proportional odds model using the asypow library. The code noncenta90b10<-asypow.noncent(theta.ha=a9010,info.mat=infomatrixa90b10,constraints=constrt) returns Error in max(..., na.rm = na.rm) : invalid "mode" of argument. the various arguments I've used are: a9010 [,1] [1,] -1.7357568 [2,] -0.1928619 spe...

Hola! I got past the problems I asked about two days ago, thanks. No I am updating CRAN package asypow (the daily package check on CRAN gave warnings due to .Rd problems, fixed). Now it PASSED Rcmd check (WindowsXP home edition, rw2000dev, on a new toshiba laptop, if that matters.) but then Rcmd build --binary gives problems: . . . preparing package asypow for lazy loading Error in tools:::.rea...

Craig, Thanks for your follow-up note on using the asypow package. My problem was not only constructing the "constraints" vector but, for my particular situation (Poisson regression, two groups, sample sizes of (1081,3180), I get very different results using asypow package compared to my other (home grown) approaches. library(asypow) pois.me...

Hi all, I would like to estimate power and necessary sample size for a GLM with a response variable that has a poisson distribution. Do you have any suggestions for how I can do this in R? Thank you for your help. Sincerely, Craig -- Craig A. Faulhaber Department of Forest, Range, and Wildlife Sciences Utah State University 5230 Old Main Hill Logan, UT 84322 (435)797-3892

I'm in the process of porting a set of routines from S to R (the 'asypow' package) and have struck one or two problems that I've been unable to clear up with the documentation I have. I may simply need a pointer to the right docs. I managed to get the code to run with minimal changes, but in order to get it to load using library(), had to run it through: R CM...

Dear R-Helpers, I'm searching for an R package that will produce power analyses for linear Wald tests. I have conducted a thorough analysis and come up with a pile of negative results (I'm the King, baby). I found asypow, which applies to likelihood ratio tests. However, we generally have the power to do Wald tests, I just need to prove it so that we can publish it ;) If this is a "dumb" question (i.e., there's something inherent in doing the test that implies the power to do detect an effect, or pu...

Dear list, Is anyone aware of a library for sample size calculation in R, similar to NQuery? I have to give a course in this area, and I would like to enable the students playing around with this. Best wishes, Matthias

we have some initial data from our field sampling. From the means and variances, we see your sampling field is much heterogeneous (not uniform). We are looking for a "R" program for sampling size determination. Right now, we are not good enough to write a whole "R" program, so please help. [[alternative HTML version deleted]]

Hola, Estoy tratando de calcular el poder estadistico de un GLM en R, programas estadisticos como SPSS lo puede calcular pero no eh encotrado nada sobre R. Alguien tiene alguna idea o sabe de literatura donde pueda encontrar ayuda? Luego tengo otra pregunta mas bien teorica sobre la funcion offset utilizada en negative poisson, por lo que eh entendido esta funcion posibilita trabajar con

...tamaño > de efecto te interesa detectar? > > Una forma de realizar el analisis de potencia es via simulacion. Dale una > mirada a > http://r.789695.n4.nabble.com/a-priori-power-analysis-for-glm-family-poisson-td4659163.htmly en especial a la referencia que alli aparece. El paquete asypow tambien > puede servirte. > > En cuanto a tu 2a pregunta, en mi opinion, lo que necesitas es un modelo > logistico, no un modelo binomial negativo. En > http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html hay un > ejemplo parecido a lo que planteas. > > Saludos...

...AS/IML Workshop SPSS Matrix(tm) R Missing Values Imputation SAS/STAT: Proc MI SPSS Missing Values Analysis(tm) aregImpute (Hmisc), fit.mult.impute (Design) Mixed Models Proc Mixed SPSS Advanced Models lmer Operations Research SAS/OR None TSP Power Analysis SAS/STAT: Power,GLM Power SamplePower(tm) asypow, powerpkg, pwr Regression Models SAS/BASE SPSS Regression Models(tm) R Sampling, Nonrandom SAS/STAT: surveymeans, etc. SPSS Complex Samples(tm) survey Structural Equations SAS/STAT: Calis Amos(tm) sem Text Analysis Text Miner SPSS Text Analysis for Surveys(tm) tm Time Series SAS/ETS(tm) SPSS Trend...

..._PACKAGES") print ("R_DEFAULT_PACKAGES") print (TEMP) print ("=======") TEMP <- c(TEMP,"aplpack","approximator","apTreeshape","ArDec","arules","ash","aspace","assist","aster","asypow","aws","base","bayesm","bayesmix","bayesSurv","BayesTree","BayesValidate","betareg","Bhat","BHH2","bicreduc","biglm","bim","bindata","Biodem",&q...

...esa detectar? > > > > Una forma de realizar el analisis de potencia es via simulacion. Dale una > > mirada a > > http://r.789695.n4.nabble.com/a-priori-power-analysis-for-glm-family-poisson-td4659163.htmly > > en especial a la referencia que alli aparece. El paquete asypow tambien > > puede servirte. > > > > En cuanto a tu 2a pregunta, en mi opinion, lo que necesitas es un modelo > > logistico, no un modelo binomial negativo. En > > http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html hay un > > ejemplo parecido a lo q...

...o > de efecto te interesa detectar? > > Una forma de realizar el analisis de potencia es via simulacion. Dale una > mirada a > http://r.789695.n4.nabble.com/a-priori-power-analysis-for-glm-family-poisson-td4659163.htmly > en especial a la referencia que alli aparece. El paquete asypow tambien > puede servirte. > > En cuanto a tu 2a pregunta, en mi opinion, lo que necesitas es un modelo > logistico, no un modelo binomial negativo. En > http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html hay un > ejemplo parecido a lo que planteas. > > Saludos...

...esa detectar? > > > > Una forma de realizar el analisis de potencia es via simulacion. Dale una > > mirada a > > http://r.789695.n4.nabble.com/a-priori-power-analysis-for-glm-family-poisson-td4659163.htmly > > en especial a la referencia que alli aparece. El paquete asypow tambien > > puede servirte. > > > > En cuanto a tu 2a pregunta, en mi opinion, lo que necesitas es un modelo > > logistico, no un modelo binomial negativo. En > > http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html hay un > > ejemplo parecido a lo q...

...bles explicativas? Que tama�o de efecto te interesa detectar? Una forma de realizar el analisis de potencia es via simulacion. Dale una mirada a http://r.789695.n4.nabble.com/a-priori-power-analysis-for-glm-family-poisson-td4659163.htmly en especial a la referencia que alli aparece. El paquete asypow tambien puede servirte. En cuanto a tu 2a pregunta, en mi opinion, lo que necesitas es un modelo logistico, no un modelo binomial negativo. En http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html hay un ejemplo parecido a lo que planteas. Saludos, Jorge.- 2013/6/11 Matias Ledesma &...

...eresa detectar? > > > > Una forma de realizar el analisis de potencia es via simulacion. Dale una > > mirada a > > http://r.789695.n4.nabble.com/a-priori-power-analysis-for-glm-family-poisson-td4659163.htmly > > en especial a la referencia que alli aparece. El paquete asypow tambien > > puede servirte. > > > > En cuanto a tu 2a pregunta, en mi opinion, lo que necesitas es un modelo > > logistico, no un modelo binomial negativo. En > > http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html hay un > > ejemplo parecido a lo q...

...he number of phenotypes belonging to each class is constant across all the simulations. waffect is used to assess empirically the statistical power of Genome Wide Association studies. Updated packages ---------------- adaptivetau (1.0), adehabitat (1.8.10), adehabitatLT (0.3.5), aod (1.3), asypow (2012.04-1), BayesDA (2012.04-1), bayesTFR (1.5-1), Bergm (2.3), BoolNet (1.50), bqtl (1.0-27), cccrm (1.1), censReg (0.5-10), cherry (0.2-6), coefplot (1.1.7), coloc (1.08), CompRandFld (1.0.2), ConjointChecks (0.0.7), copula (0.99-1), crawl (1.3-4), deseasonalize (1.03), digeR (1.3), Distribution...