similar to: freelance consulting opportunity for R expert (causal inference & data visualization)

Hi all, Following up on Holger's email last week: Does anyone know if there exists a library that implements the sensitivity tests for hidden bias for matched pairs and unmatched groups as proposed in Rosenbaum's Observational Studies (2002: ch.4)? Thanks. Best, jens

Dear all, I am using the Instrumental Variable approach to estimate the causal effects of TWO endogenous variables in a Mendelian Randomization study. As long as point estimation is concerned, I have no problem: both "ivreg" in library "AER" and "tsls" in library "sem" do the job perfectly. The problems begin when I try to obtain confidence intervals for

I have a semantics question, I am reading Bowerman and O'Connell and they state that forecasting models fall into two categories, univariate and causal. My question is whether a time series regression model that relates the time series of interest to functions of time such as the day of the week or month of the year could be considered a causal model? thanks, spencer [[alternative HTML

I am doing a research on World Bank (WB) projects on developing countries. To do so, I am scraping their website in order to collect the data I am interested in. The structure of the webpage I want to scrape is the following: 1. List of countries the list of all countries in which WB has developed projects<http://projects.worldbank.org/country?lang=en&page=> 1.1. By clicking on a

Hi everyone, We've recently launched data360r, now available on CRAN at https://cran.r-project.org/web/packages/data360r/index.html This package makes it easy to engage with the APIs of the TCdata360 and Govdata360 open data platforms at https://tcdata360.worldbank.org/ and https://govdata360.worldbank.org/, respectively. These APIs provide access to over 5000 trade, competitiveness, and

Hi everyone, We've recently launched data360r, now available on CRAN at https://cran.r-project.org/web/packages/data360r/index.html This package makes it easy to engage with the APIs of the TCdata360 and Govdata360 open data platforms at https://tcdata360.worldbank.org/ and https://govdata360.worldbank.org/, respectively. These APIs provide access to over 5000 trade, competitiveness, and

Hi netters. Assume Y = {Y1,.....Yn} and X = {X1......Xm}, where Yi and Xi are random variables that can take on discrete values from V={0,1,2}. Each Yi in Y has some (0-k) parent variables in X, which means given the values of the parent variables (Xi0....Xik) the values of Yi is set. Yi = F(Xi0,...Xik), where F is a mapping function from parents to sons. Considering there are some noise in

Hi, I am using the sim1000G R package to simulate data for case/control study. I can not figure out how to manipulate this code to be able to generate 10% or 50% causal SNPs in R. This is whole code provided as example on GitHub: library(sim1000G) vcf_file = "region-chr4-357-ANK2.vcf.gz" #nvariants = 442, ss=1000 vcf = readVCF( vcf_file, maxNumberOfVariants = 442 ,min_maf =

Hi Berina, I'm not an expert on genetics. I haven't looked at the package. And I've only glanced at your question. So, this is probably not the best response. But as no one else has responded, here's some comments: (1) Have you checked if there's a function in the package to do what you want? The remainder of these questions assume that you have, and the answer is no. (2)

Check out the proposed prices when this is approved. BELL CANADA REPORT ON THE ECONOMIC EVALUATION FOR THE TARIFF REVISION OF Bell Canada's Access Services Tariff Item 315 ? Zero-Dialed Emergency Call Routing Service (0-ECRS) *2 March 2006 TABLE OF CONTENTS Page 1.0 GENERAL 3 1.1 Purpose of the Study 3 2.0 SERVICE DESCRIPTION 3 2.1 Service Characteristics 3 2.2

Hi, I am trying to create a googleVis motion chart with monthly data. When formatting the date column as a Date class variable, the plot as presented in the browser becomes considerably slower and very prone to crashing the browser. To illustrate this issue I have modified the WorldBank demo. ### objects from demo("WorldBank", package = "googleVis") M <-

Hello, I wanted to announce the release of a new package on CRAN wbstats. >From the description "Tools for searching and downloading data and statistics from the World Bank Data API (http://data.worldbank.org/developers/api-overview) and the World Bank Data Catalog API (http://data.worldbank.org/developers/data-catalog-api)" Here is a (hopefully) useful vignette if you would like

Ilija Barukcic, Jever, Germany. GMT + 1h. Barukcic at t-online.de Hallo, you are receiving this message from me as someone who potentially has bought the first Edition of my book Causality. New statistical methods. ISBN 3 - 8 3 3 4 - 3 6 4 5 - X. Your email address was obtained either through my friends, your publication, a colleague or via correspondence with you. I am pleased to

> > After running a MANOVA test, I used univariate Fs in order to see > which IV(s) was contributing the difference. > However, I have been critised about it, > and the reason I was given is: > > "MANOVA allows you to explore multiple associations but > does not excuse you from tracing out the causal relationships > for each variable. This does

Hello: I would like to sum every x columns of a dataframe for each row. For instance, if x is 10, then for dataframe df, this function will sum the first ten elements together and then the next ten: sapply(list(colnames(df)[1:10], colnames(df)[11:20]),function(x)apply( df[,x], 1, sum)) If the number of columns is quite large (1000's), then manually entering the list above is not practical.

I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal

I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated

Package update: mediation Scholars across a range of disciplines are increasingly interested in identifying causal mechanisms, going beyond the estimation of causal effects. The mediation package (4.0) estimates mediation effects for a variety of experimental designs and statistical models. The update covers new models, designs, and includes many new functionalities. Dustin Tingley Government