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    },
    {
      "page": "FINANCE",
      "title": "Portfolio-Insurance-Strategies",
      "topics": [
        "FINANCE"
      ]
    },
    {
      "page": "GDP",
      "title": "Germany's gross domestic product adjusted for price changes",
      "topics": [
        "GDP"
      ]
    },
    {
      "page": "GDPORIG",
      "title": "Germany's gross domestic product, values of Laspeyres index to base 2000",
      "topics": [
        "GDPORIG"
      ]
    },
    {
      "page": "Grangercaus",
      "title": "'Grangercaus' determines three values of BIC from a twodimensional VAR process",
      "topics": [
        "Grangercaus"
      ]
    },
    {
      "page": "HAC",
      "title": "HAC Covariance Matrix Estimation 'HAC' computes the central quantity (the meat) in the HAC covariance matrix estimator, also called sandwich estimator. HAC is the abbreviation for \"heteroskedasticity and autocorrelation consistent\".",
      "topics": [
        "HAC"
      ]
    },
    {
      "page": "HEARTBEAT",
      "title": "Cardiac frequency of a patient",
      "topics": [
        "HEARTBEAT"
      ]
    },
    {
      "page": "HSV",
      "title": "HSV's position in the first German soccer league",
      "topics": [
        "HSV"
      ]
    },
    {
      "page": "IBM",
      "title": "IBM's stock price",
      "topics": [
        "IBM"
      ]
    },
    {
      "page": "ICECREAM",
      "title": "Temperature and consumption of ice cream",
      "topics": [
        "ICECREAM"
      ]
    },
    {
      "page": "init_values",
      "title": "'init_values' is an auxiliary function for rlassoHAC, for fitting linear models with the method of least squares where only the variables in X with highest correlations are considered; taken from package hdm.",
      "topics": [
        "init_values"
      ]
    },
    {
      "page": "INORDER",
      "title": "Income orders of a company",
      "topics": [
        "INORDER"
      ]
    },
    {
      "page": "interpol",
      "title": "'interpol' help function for missls",
      "topics": [
        "interpol"
      ]
    },
    {
      "page": "kweightsHAC",
      "title": "'kweightsHAC' help function for HAC",
      "topics": [
        "kweightsHAC"
      ]
    },
    {
      "page": "L921",
      "title": "Subsoil water level and precipitation at pilot well L921",
      "topics": [
        "L921"
      ]
    },
    {
      "page": "lagwinba",
      "title": "'lagwinba' Bartlett's Lag-window for indirect spectrum estimation",
      "topics": [
        "lagwinba"
      ]
    },
    {
      "page": "lagwinpa",
      "title": "'lagwinpa' Parzen's Lag-window for indirect spectrum estimation",
      "topics": [
        "lagwinpa"
      ]
    },
    {
      "page": "lagwintu",
      "title": "'lagwintu' Tukey's Lag-window for indirect spectrum estimation",
      "topics": [
        "lagwintu"
      ]
    },
    {
      "page": "lambdaCalculationHAC",
      "title": "'lambdaCalculationHAC' is an auxiliary function for rlassoHAC; it calculates the penalty parameters.",
      "topics": [
        "lambdaCalculationHAC"
      ]
    },
    {
      "page": "lambdaCalculationLoad",
      "title": "'lambdaCalculationLoad' is an auxiliary function for rlassoLoad; it calculates the penalty parameters with predefined loadings.",
      "topics": [
        "lambdaCalculationLoad"
      ]
    },
    {
      "page": "ldrec",
      "title": "'ldrec' does Levinson-Durbin recursion for determing all coefficients a(i,j)",
      "topics": [
        "ldrec"
      ]
    },
    {
      "page": "LITH",
      "title": "Daily subsoil water level and precipitation at pilot well Lith",
      "topics": [
        "LITH"
      ]
    },
    {
      "page": "LjungBoxPierceTest",
      "title": "'LjungBoxPierceTest' determines the test statistic and p values for several lags for a residual series",
      "topics": [
        "LjungBoxPierceTest"
      ]
    },
    {
      "page": "LUHORMONE",
      "title": "Level of Luteinzing hormone of a cow",
      "topics": [
        "LUHORMONE"
      ]
    },
    {
      "page": "LYNX",
      "title": "Annual lynx trappings in a region of North-West Canada. Taken from Andrews and Herzberg (1985).",
      "topics": [
        "LYNX"
      ]
    },
    {
      "page": "LYNXHARE",
      "title": "Size of populations of lynxes and snow hares",
      "topics": [
        "LYNXHARE"
      ]
    },
    {
      "page": "MACHINES",
      "title": "Number of incoming orders for machines",
      "topics": [
        "MACHINES"
      ]
    },
    {
      "page": "MAUNALOA",
      "title": "Atmospheric CO2 concentrations (ppmv) derived from in situ air samples collected at Mauna Loa Observatory, Hawaii",
      "topics": [
        "MAUNALOA"
      ]
    },
    {
      "page": "MDAX",
      "title": "Stock market price of MDAX",
      "topics": [
        "MDAX"
      ]
    },
    {
      "page": "MELANOM",
      "title": "Melanoma incidence in Connecticut",
      "topics": [
        "MELANOM"
      ]
    },
    {
      "page": "mfraccheck",
      "title": "multifractal check 'mfraccheck' computes the absolute empirical moments of the differenced series for various lags and moment orders. E.g. for lag = 3 and moment order = 1 the average absolute value of the differences with lag 3 will be computed. By default, the maximum lag is determined so that the differenced series contains at lest 50 observations.",
      "topics": [
        "mfraccheck"
      ]
    },
    {
      "page": "missar",
      "title": "'missar' Substitution of missing values in a time series by conditional exspectations of AR(p) models",
      "topics": [
        "missar"
      ]
    },
    {
      "page": "missls",
      "title": "'missls' substitutes missing values in a time series using the LS approach with ARMA models",
      "topics": [
        "missls"
      ]
    },
    {
      "page": "moveav",
      "title": "'moveav' smoothes a time series by moving averages",
      "topics": [
        "moveav"
      ]
    },
    {
      "page": "movemed",
      "title": "'movemed' smoothes a time series by moving medians",
      "topics": [
        "movemed"
      ]
    },
    {
      "page": "MUSKRAT",
      "title": "Annual trade of muskrat pelts",
      "topics": [
        "MUSKRAT"
      ]
    },
    {
      "page": "NIKKEI",
      "title": "Daily values of the Japanese stock market index Nikkei 225 between 02.02.2000 and 20.10.2020",
      "topics": [
        "NIKKEI"
      ]
    },
    {
      "page": "outidentify",
      "title": "'outidentify' performs one iteration of Wei's iterative procedure to identify impact, locations and type of outliers in arma processes",
      "topics": [
        "outidentify"
      ]
    },
    {
      "page": "OXYGEN",
      "title": "Amount of an Oxygen isotope",
      "topics": [
        "OXYGEN"
      ]
    },
    {
      "page": "pacfmat",
      "title": "'pacfmat' sequence of partial autocorrelation matrices and related statistics for a multivariate time series",
      "topics": [
        "pacfmat"
      ]
    },
    {
      "page": "PAPER",
      "title": "Two measurements at a paper machine",
      "topics": [
        "PAPER"
      ]
    },
    {
      "page": "periodogram",
      "title": "'periodogram' determines the periodogram of a time series",
      "topics": [
        "periodogram"
      ]
    },
    {
      "page": "periodotest",
      "title": "'periodotest' computes the p-value of the test for a hidden periodicity",
      "topics": [
        "periodotest"
      ]
    },
    {
      "page": "perwinba",
      "title": "'perwinba' Bartlett-Priestley window for direct spectral estimation",
      "topics": [
        "perwinba"
      ]
    },
    {
      "page": "perwinda",
      "title": "'perwinda' Daniell window for direct spectral estimation",
      "topics": [
        "perwinda"
      ]
    },
    {
      "page": "perwinpa",
      "title": "'perwinpa' Parzen's window for direct spectral estimation",
      "topics": [
        "perwinpa"
      ]
    },
    {
      "page": "pestep",
      "title": "'pestep' help function for missar",
      "topics": [
        "pestep"
      ]
    },
    {
      "page": "PIGPRICE",
      "title": "Monthly prices for pigs",
      "topics": [
        "PIGPRICE"
      ]
    },
    {
      "page": "polymake",
      "title": "'polymake' generates the coefficients of an AR process given the zeros of the characteristic polynomial. The norm of the roots must be greater than one for stationary processes.",
      "topics": [
        "polymake"
      ]
    },
    {
      "page": "PPDEMAND",
      "title": "Peak power demand in Berlin",
      "topics": [
        "PPDEMAND"
      ]
    },
    {
      "page": "PRODINDEX",
      "title": "Production index of manufacturing industries",
      "topics": [
        "PRODINDEX"
      ]
    },
    {
      "page": "psifair",
      "title": "'psifair' is a psi-function for robust estimation",
      "topics": [
        "psifair"
      ]
    },
    {
      "page": "psihuber",
      "title": "'psihuber' is a psi-function for robust estimation",
      "topics": [
        "psihuber"
      ]
    },
    {
      "page": "RAINFALL",
      "title": "Annual amount of rainfall in Los Angeles",
      "topics": [
        "RAINFALL"
      ]
    },
    {
      "page": "REDWINE",
      "title": "Monthly sales of Australian red wine (1000 l)",
      "topics": [
        "REDWINE"
      ]
    },
    {
      "page": "rlassoHAC",
      "title": "'rlassoHAC' performs Lasso estimation under heteroscedastic and autocorrelated non-Gaussian disturbances.",
      "topics": [
        "rlassoHAC"
      ]
    },
    {
      "page": "rlassoLoad",
      "title": "'rlassoLoad' performs Lasso estimation under heteroscedastic and autocorrelated non-Gaussian disturbances with predefined penalty loadings.",
      "topics": [
        "rlassoLoad"
      ]
    },
    {
      "page": "robsplinedecomp",
      "title": "'robsplinedecomp' decomposes a vector into trend, season and irregular component by robustified spline approach; a time series attribute is lost",
      "topics": [
        "robsplinedecomp"
      ]
    },
    {
      "page": "RS",
      "title": "'RS' rescaled adjusted range statistic",
      "topics": [
        "RS"
      ]
    },
    {
      "page": "SALES",
      "title": "Monthly sales of a company",
      "topics": [
        "SALES"
      ]
    },
    {
      "page": "SCHAUINSLAND",
      "title": "CO2-Concentration obtained in Schauinsland, Germany",
      "topics": [
        "SCHAUINSLAND"
      ]
    },
    {
      "page": "simpledecomp",
      "title": "'simpledecomp' decomposes a vector into trend, season and irregular component by linear regression approach",
      "topics": [
        "simpledecomp"
      ]
    },
    {
      "page": "smoothls",
      "title": "'smoothls' smoothes a time series by Whittaker graduation.  The function depends on the package Matrix.",
      "topics": [
        "smoothls"
      ]
    },
    {
      "page": "smoothrb",
      "title": "'smoothrb' smoothes a time series robustly by using Huber's psi-function.  The initialisation uses a moving median.",
      "topics": [
        "smoothrb"
      ]
    },
    {
      "page": "specest",
      "title": "'specest' direct spectral estimation of series y using periodogram window win",
      "topics": [
        "specest"
      ]
    },
    {
      "page": "specplot",
      "title": "'specplot' plot of spectral estimate",
      "topics": [
        "specplot"
      ]
    },
    {
      "page": "splinedecomp",
      "title": "'splinedecomp' decomposes a time series into trend, season and irregular component by spline approach.",
      "topics": [
        "splinedecomp"
      ]
    },
    {
      "page": "SPRUCE",
      "title": "Annual logging of spruce wood.",
      "topics": [
        "SPRUCE"
      ]
    },
    {
      "page": "statcheck",
      "title": "'statcheck' determines the means, standard deviations and acf's of segmets of a time series and plots the acf's for the segments.",
      "topics": [
        "statcheck"
      ]
    },
    {
      "page": "subsets",
      "title": "'subsets' determines all subsets of a set of n elements (labelled by 1,2,...,n ).",
      "topics": [
        "subsets"
      ]
    },
    {
      "page": "symplot",
      "title": "'symplot' produces a symmetry plot",
      "topics": [
        "symplot"
      ]
    },
    {
      "page": "taper",
      "title": "'taper' taper modification of a time series",
      "topics": [
        "taper"
      ]
    },
    {
      "page": "TAXES",
      "title": "Monthly community taxes in Germany (billions EURO)",
      "topics": [
        "TAXES"
      ]
    },
    {
      "page": "TREERING",
      "title": "Mean thickness of annual tree rings",
      "topics": [
        "TREERING"
      ]
    },
    {
      "page": "TREMOR",
      "title": "Measurements of physiological tremor",
      "topics": [
        "TREMOR"
      ]
    },
    {
      "page": "tsmat",
      "title": "'tsmat' constructs a (n-p+1,p) matrix from a time series where the first column is the shortened series y[p],...,y[n], the second is y[p-1],...,y[n-1], etc.",
      "topics": [
        "tsmat"
      ]
    },
    {
      "page": "USAPOP",
      "title": "Population of USA",
      "topics": [
        "USAPOP"
      ]
    },
    {
      "page": "vartable",
      "title": "'vartable' determines table of variate differences",
      "topics": [
        "vartable"
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    },
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      "page": "WHORMONE",
      "title": "Concentration of growth hormone of a bull",
      "topics": [
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    },
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      "page": "wntest",
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