LAMBDA

Project information

Project members
e2holmes viscido

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Description

LAMBDA is a MatLab toolkit designed to do MAR-1 based data analysis on long-term datasets and is based on the methods described in Ives et al. 2003, Ecological Monographs 73:301-330. LAMBDA is designed to allow the user to step through the entire modeling process, from importing the data, to obtaining descriptive statistics of the dataset, to, finally, performing a MAR-1 regression model and obtaining output parameters. A MAR-1 process is a Multivariate, Auto-Regressive first (1st) order process. Essentially, it is a means of estimating interactions between multiple variates from time series data, using matrix algebra. A MAR-1 model is a stochastic, non-mechanistic model that uses time series data on species numbers and co-variates to deduce inter-population interactions and the effects of covariates (e.g., physical variables) on populations.

How to get started? Download the executable file (next line) and follow the instructions in the "LAMBDA installation instructions.pdf" which you download below.

Download the LAMBDA executable (Windows): LAMBDA_MCR_pkg.exe Warning: This is a 138 MB file!

Installation Instructions: See the pdf below which details installation. The executable version of LAMBDA does not require MatLab. Its system requirements are Windows XP/2000, 256 MB of RAM, and 150 MB of Hard Drive Space.  Mac and unix users (and Windows users if they wish) can run LAMBDA through Matlab using the source code, which is provided in a zip file below.

LAMBDA is a product of the Mathematical Biology program at the Northwest Fisheries Science Center in Seattle, WA, and was developed with support by NOAA/NMFS and the National Research Council. It is open-source software released under the GNU GPL license, meaning you are free to use and modify it in (almost) any way you see fit. LAMBDA was developed by Steven Viscido while on a National Research Council postdoctoral associateship with Elizabeth Holmes.  LAMBDA is based on the techniques outlined in the paper Ives et al. 2003, Ecological Monographs 73:301-330. The code for the actual MAR-1 regression was based on the "MARbasic.m" MatLab script written by Tony Ives (available at the Ecological Archives). The parameter search code was based on an unpublished script written by Tony Ives. All other code was written by Steven Viscido.

If Installation hangs This is a bug on MatLab's side. To work around it, you will need to install vcredist_x86.exe (32 bit systems) or vcredist_x64.exe (64 bit system) first (given below) and then repeat the LAMBDA installation. But read the If_Installation_Hangs.txt readme file if this happens to you. This bug affects about 20% of computers, randomly it would seem.

Matlab Source Code This is not needed if you are using the executable version. Current source code version is LAMBDA_0.9.2Beta.zip. The source code can be downloaded below. Requirements for running LAMBDA from the source code are

  • MatLab version 7.0.1 (R14) w/service Pack 1, or later
  • MatLab's Statistics and Optimization toolboxes
  • At least 256 MB of RAM on your system
  • 5 MB of Hard Drive space for the LAMBDA installation


Files

LAMBDA /
  • Download LAMBDA as zip archive Download
Name Status Rev Size Updated Downloads Brief Description Actions
gpl_license.txt
Stable
1 17.6 KB 07/27/2007 14:53 PDT 67 67 f
(none)
If_Installation_Hangs.txt
Stable
1 1.4 KB 09/11/2007 12:17 PDT 577 577 f
(none)
LAMBDA installation instructions.pdf
Stable
3 38.5 KB 07/27/2007 17:22 PDT 599 599 f
(none)
LAMBDA_1.0.0.zip
Stable
1 1.5 MB 10/27/2009 10:56 PDT 138 138 f
matlab source files
user_guide.pdf
Stable
1 357.8 KB 07/27/2007 16:16 PDT 751 751 f
(none)
vcredist_x64.exe
Stable
1 4.1 MB 09/11/2007 12:31 PDT 130 130 f
(none)
vcredist_x86.exe
Stable
1 2.6 MB 09/11/2007 12:20 PDT 103 103 f
(none)

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