ABMI (7) ARU (1) Alberta (1) BAM (1) C (1) CRAN (1) Hungary (2) JOSM (2) MCMC (1) PVA (2) PVAClone (1) QPAD (3) R (20) R packages (1) abundance (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) datacloning (1) dclone (3) density (1) dependencies (1) detect (3) detectability (3) footprint (3) forecasting (1) functions (3) intrval (4) lhreg (1) mefa4 (1) monitoring (2) pbapply (5) phylogeny (1) plyr (1) poster (2) processing time (2) progress bar (4) publications (2) report (1) sector effects (1) shiny (1) single visit (1) site (1) slider (1) slides (2) special (3) species (1) trend (1) tutorials (2) video (4) workshop (1)

- — How many birds are out there?
- — Effects of industrial sectors on species abundance in Alberta
- — NACCB 2016 talk on cumulative effects monitoring
- — wac2wav converter
- — Version 3 of the ABMI Species Website released
- — Human footprint change during the last decade
- — ABMI Species Website launched

- — How many birds are out there?
- — Fitting removal models with the detect R package
- — ISEC 2014 in Montpellier

- — Fitting removal models with the detect R package
- — Shiny slider examples with the intrval R package
- — Phylogeny and species traits predict bird detectability
- — PVA: Publication Viability Analysis, round 3
- — The progress bar just got a lot cheaper
- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package
- — How to write and document %special% functions in R
- — Progress bar overhead comparisons
- — How to add pbapply to R packages
- — What is the cost of a progress bar in R?
- — Trends in daily R package downloads
- — Data set with all the conceivable errors
- — Timer progress bar added to pbapply package
- — mefa4 R package update
- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier
- — What can we do with a single survey?
- — Budapest Use R!
- — ISEC 2014 in Montpellier

- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier

- — PVA: Publication Viability Analysis, round 3
- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier
- — Budapest Use R!

- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier
- — Budapest Use R!

- — Fitting removal models with the detect R package
- — What can we do with a single survey?
- — ISEC 2014 in Montpellier

- — How many birds are out there?
- — Fitting removal models with the detect R package
- — Phylogeny and species traits predict bird detectability

- — Effects of industrial sectors on species abundance in Alberta
- — NACCB 2016 talk on cumulative effects monitoring
- — Human footprint change during the last decade

- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package
- — How to write and document %special% functions in R

- — Shiny slider examples with the intrval R package
- — PVA: Publication Viability Analysis, round 3
- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package

- — Effects of industrial sectors on species abundance in Alberta
- — NACCB 2016 talk on cumulative effects monitoring

- — The progress bar just got a lot cheaper
- — Progress bar overhead comparisons
- — How to add pbapply to R packages
- — What is the cost of a progress bar in R?
- — Timer progress bar added to pbapply package

- — The progress bar just got a lot cheaper
- — Progress bar overhead comparisons
- — How to add pbapply to R packages
- — What is the cost of a progress bar in R?

- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package
- — How to write and document %special% functions in R

- — Version 3 of the ABMI Species Website released
- — Cumulative effects of Oil Sands development on songbirds
- — Human footprint change during the last decade
- — ABMI Species Website launched

I moved to Canada in 2008 to start a postdoctoral fellowship with Prof. Subhash Lele at the stats department of the University of Alberta. Subhash at the time just published a paper about a statistical technique called data cloning. Data cloning is a way to use Bayesian MCMC algorithms to do frequentist inference. Yes, you read that right.

- How many birds are out there?
- Fitting removal models with the detect R package
- Shiny slider examples with the intrval R package
- Phylogeny and species traits predict bird detectability
- PVA: Publication Viability Analysis, round 3

ABMI (7) ARU (1) Alberta (1) BAM (1) C (1) CRAN (1) Hungary (2) JOSM (2) MCMC (1) PVA (2) PVAClone (1) QPAD (3) R (20) R packages (1) abundance (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) datacloning (1) dclone (3) density (1) dependencies (1) detect (3) detectability (3) footprint (3) forecasting (1) functions (3) intrval (4) lhreg (1) mefa4 (1) monitoring (2) pbapply (5) phylogeny (1) plyr (1) poster (2) processing time (2) progress bar (4) publications (2) report (1) sector effects (1) shiny (1) single visit (1) site (1) slider (1) slides (2) special (3) species (1) trend (1) tutorials (2) video (4) workshop (1)