Package 'extRemes' - What are R and CRAN?

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32 FCwx ## End(Not run) FCwx Fort Collins, Colorado Weather Data Description Usage Format Details Source Weather data from Fort Collins, Colorado, U.S.A. from 1900 to 1999. data(FCwx) The format is: chr "FCwx" Data frame with components: Year: integer years from 1900 to 1999, Mn: integer months from 1 to 12, Dy: integer days of the month (i.e., from 1 to 28, 29, 30 or 31 depending on the month/year), MxT: integer valued daily maximum temperature (degrees Fahrenheit), MnT: integer valued daily minimum temperature (degrees Fahrenheit), Prec: numeric giving the daily accumulated precipitation (inches), Snow: numeric daily accumulated snow amount, SnCv: numeric daily snow cover amount Colorado Climate Center, Colorado State University (http://ulysses.atmos.colostate.edu). References Katz, R. W., Parlange, M. B. <strong>and</strong> Naveau, P. (2002) Statistics of extremes in hydrology. Advances in Water Resources, 25, 1287–1304. Examples data(FCwx) str(FCwx) plot(FCwx$Mn, FCwx$Prec) plot(1:36524, FCwx$MxT, type="l")
fevd 33 fevd Fit An Extreme Value Distribution (EVD) to Data Description Usage Fit a univariate extreme value distribution functions (e.g., GEV, GP, PP, Gumbel, or Exponential) to data; possibly with covariates in the parameters. fevd(x, data, threshold = NULL, threshold.fun = ~1, location.fun = ~1, scale.fun = ~1, shape.fun = ~1, use.phi = FALSE, type = c("GEV", "GP", "PP", "Gumbel", "Exponential"), method = c("MLE", "GMLE", "Bayesian", "Lmoments"), initial = NULL, span, units = NULL, time.units = "days", period.basis = "year", na.action = na.fail, optim.args = NULL, priorFun = NULL, priorParams = NULL, proposalFun = NULL, proposalParams = NULL, iter = 9999, weights = 1, blocks = NULL, verbose = FALSE) ## S3 method for class fevd plot(x, type = c("primary", "probprob", "qq", "qq2", "Zplot", "hist", "density", "rl", "trace"), rperiods = c(2, 5, 10, 20, 50, 80, 100, 120, 200, 250, 300, 500, 800), a = 0, hist.args = NULL, density.args = NULL, d = NULL, ...) ## S3 method for class fevd.bayesian plot(x, type = c("primary", "probprob", "qq", "qq2", "Zplot", "hist", "density", "rl", "trace"), rperiods = c(2, 5, 10, 20, 50, 80, 100, 120, 200, 250, 300, 500, 800), a = 0, hist.args = NULL, density.args = NULL, burn.in = 499, d = NULL, ...) ## S3 method for class fevd.lmoments plot(x, type = c("primary", "probprob", "qq", "qq2", "Zplot", "hist", "density", "rl", "trace"), rperiods = c(2, 5, 10, 20, 50, 80, 100, 120, 200, 250, 300, 500, 800), a = 0, hist.args = NULL, density.args = NULL, d = NULL, ...) ## S3 method for class fevd.mle plot(x, type = c("primary", "probprob", "qq", "qq2", "Zplot", "hist", "density", "rl", "trace"), rperiods = c(2, 5, 10, 20, 50, 80, 100, 120, 200, 250, 300, 500, 800), a = 0, hist.args = NULL, density.args = NULL, period = "year", prange = NULL, d = NULL, ...) ## S3 method for class fevd print(x, ...)
Page 1 and 2: Package ‘extRemes’ January 24,
Page 3 and 4: extRemes-package 3 extRemes (= 2.0)
Page 5 and 6: atdf 5 Usage atdf(x, u, lag.max = N
Page 7 and 8: lockmaxxer 7 Examples z
Page 9 and 10: ci.fevd 9 Examples data(Fort) bmFor
Page 11 and 12: ci.fevd 11 1. Simulate a sample of
Page 13 and 14: ci.rl.ns.fevd.bayesian 13 ## End(No
Page 15 and 16: datagrabber.declustered 15 Usage da
Page 17 and 18: decluster 17 decluster Decluster Da
Page 19 and 20: decluster 19 data.name character st
Page 21 and 22: Denmint 21 Denmint Denver Minimum T
Page 23 and 24: devd 23 Usage devd(x, loc = 0, scal
Page 25 and 26: devd 25 Pickands, J. (1975) Statist
Page 27 and 28: distill.fevd 27 ## S3 method for cl
Page 29 and 30: erlevd 29 References Gilleland, E.
Page 31: extremalindex 31 Value There are ma
Page 35 and 36: fevd 35 method initial span units t
Page 37 and 38: fevd 37 iter weights blocks FUN Det
Page 39 and 40: fevd 39 For Bayesian estimation, it
Page 41 and 42: fevd 41 facilitate a more meaningfu
Page 43 and 44: fevd 43 proposalFun, proposalParams
Page 45 and 46: fevd 45 # Port Jervis, New York win
Page 47 and 48: fevd 47 ci(fit, type="parameter") p
Page 49 and 50: fevd 49 set.seed(0) FortSub 0.395,
Page 51 and 52: fevd 51 plot(fitB, "trace") # Above
Page 53 and 54: findpars 53 ## S3 method for class
Page 55 and 56: Flood 55 Format A data frame with 6
Page 57 and 58: fpois 57 Usage fpois(x, na.action =
Page 59 and 60: ftcanmax 59 ftcanmax Annual Maximum
Page 61 and 62: levd 61 Details This function is mo
Page 63 and 64: lr.test 63 When blocks is supplied,
Page 65 and 66: make.qcov 65 Author(s) Eric Gillela
Page 67 and 68: mrlplot 67 mrlplot Mean Residual Li
Page 69 and 70: parcov.fevd 69 References Coles, S.
Page 71 and 72: pextRemes 71 Details Source Peak st
Page 73 and 74: pextRemes 73 Value given. If not, t
Page 75 and 76: pextRemes 75 # Note that fit has a
Page 77 and 78: Potomac 77 References Thompson, D.
Page 79 and 80: qqnorm 79 gr, method, lower, upper,
Page 81 and 82: qqplot 81 qqplot qq-plot Between Tw
Page 83 and 84:
eturn.level 83 return.level Return
Page 85 and 86:
eturn.level 85 Value shape and loca
Page 87 and 88:
evtrans.evd 87 revtrans.evd Reverse
Page 89 and 90:
levd 89 Details The extreme value d
Page 91 and 92:
shiftplot 91 Format A data frame wi
Page 93 and 94:
taildep 93 taildep Tail Dependence
Page 95 and 96:
taildep.test 95 taildep.test Tail D
Page 97 and 98:
threshrange.plot 97 taildep.test(PO
Page 99 and 100:
Tphap 99 Tphap Daily Maximum and Mi
Page 101 and 102:
trans 101 Value For GP distributed
Page 103 and 104:
INDEX 103 levd, 61 pextRemes, 71 th
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