revisit_bibd: Create a Balanced Incomplete Block Panel Revisit Design
In mhweber/spsurvey: Spatial Survey Design and Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

Create a revisit design for panels in a survey that specifies the time periods for the units of each panel to be sampled based on searching for a D-optimal block design that is a member of the class of generalized Youden designs. The resulting design need not be a balanced incomplete block design. Based on algorithmic idea by Cook and Nachtsheim (1989) and implemented by Robert Wheeler.

1 2	revisit_bibd(n.period, n.pnl, n.visit, nsamp, panel_name = "BIB", begin = 1, skip = 1, iter = 30)

`n.period`	Number of time periods for the survey design. Typically, number of periods if sampling occurs once per period or number of months if sampling occurs once per month. (v, number of varieties/treatments in BIBD terms)
`n.pnl`	Number of panels (b, number of blocks in BIBD terms)
`n.visit`	Number of time periods to be visited in a panel (k, block size in BIBD terms)
`nsamp`	Number of samples in each panel.
`panel_name`	Prefix for name of each panel
`begin`	Numeric name of first sampling occasion, e.g. a specific period.
`skip`	Number of sampling occasions to skip between planned sampling periods, e.g., sampling will occur only every 5 periods if skip = 5.
`iter`	Maximum number of iterations in search for D-optimal Generallized Youden Design.

The function uses find.BIB function from crossdes package to search for a D-optimal block design. crossdes uses package AlgDesign to search balanced incomplete block designs.

A two-dimensional array of sample sizes to be sampled for each panel and each sampling occasion.

Tony Olsen Olsen.Tony@epa.gov

Cook R. D. and C. Nachtsheim. (1989). Computer-aided blocking of factorial and response-surface designs. Technometrics 31(3), 339-346.

revisit_dsgn: create a panel revisit design
revisit_rand: create a revisit design with random assignment to panels and time periods
panel_summary: summarize characteristics of a revisit panel design
power.dsgn: power calculation for multiple panel designs
cov.panel.dsgn: covariance matrix for a panel design
plot_powerpaneldesign: plot power curves for panel designs

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# Balanced incomplete block design with 20 sample occasions, 20 panels,
# 3 visits to each unit, and 20 units in each panel.
revisit_bibd(n.period = 20, n.pnl = 20, n.visit = 3, nsamp = 20)