R packages - Jul 2016 - New package 'forestinventory: Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories'

Dear R users,

We are happy to announce that the R package 'forestinventory: Design-Based
Global and Small-Area Estimations for Multiphase Forest Inventories'
is now on CRAN (https://cran.r-project.org/web/packages/forestinventory/).

The aim of our package is to provide global- and smallarea estimators for
twophase and threephase forest inventories under simple and cluster sampling.
The methods can be used for double sampling for stratification (i.e. classical
ANOVA model as prediction model),
double sampling for regression (i.e. multiple regression model as prediction
model) and double sampling for regression within strata
(i.e. classical ANCOVA model as prediction model). The implemented estimators
have been developed by Daniel Mandallaz at ETH Zurich
and their implementation has been optimized according to current challenges and
needs of multiphase inventories (e.g. use of remote sensing / geodata).

Relevant features:

-          Provides point - and variance estimators for 64 inventory scenarios
in total,

according to sample design (simple and cluster sampling, two- and threephase
inventory designs) and availability of auxiliary information

-          Allows for the computation of Confidence Intervals for the point
estimates

-          Completes the range of the already published estimators for
threephase small area estimations

-          Also includes estimators for onephase inventories (only using
terrestrial inventory data)

Upcoming activities:
We will publish a vignette illustrating the use of the various estimators as
soon as possible.


Best,

Andreas Hill
Alexander Massey


-------------------------------------------
ETH Z?rich
Andreas Hill
Forstl. Ingenieurwesen, Heinimann
CHN K 75.1
Universit?tstrasse 16
8092 Z?rich

Telefon: +41 44 632 32 36
Andreas.hill at usys.ethz.ch

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